US20110183764A1 - Game process with mode of competition based on facial similarities - Google Patents

Game process with mode of competition based on facial similarities Download PDF

Info

Publication number
US20110183764A1
US20110183764A1 US12/930,942 US93094211A US2011183764A1 US 20110183764 A1 US20110183764 A1 US 20110183764A1 US 93094211 A US93094211 A US 93094211A US 2011183764 A1 US2011183764 A1 US 2011183764A1
Authority
US
United States
Prior art keywords
various
composite
drawn
picture
composite picture
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Abandoned
Application number
US12/930,942
Inventor
Gregg Franklin Eargle
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Individual
Original Assignee
Individual
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Individual filed Critical Individual
Priority to US12/930,942 priority Critical patent/US20110183764A1/en
Publication of US20110183764A1 publication Critical patent/US20110183764A1/en
Abandoned legal-status Critical Current

Links

Images

Classifications

    • AHUMAN NECESSITIES
    • A63SPORTS; GAMES; AMUSEMENTS
    • A63FCARD, BOARD, OR ROULETTE GAMES; INDOOR GAMES USING SMALL MOVING PLAYING BODIES; VIDEO GAMES; GAMES NOT OTHERWISE PROVIDED FOR
    • A63F13/00Video games, i.e. games using an electronically generated display having two or more dimensions
    • A63F13/60Generating or modifying game content before or while executing the game program, e.g. authoring tools specially adapted for game development or game-integrated level editor
    • A63F13/65Generating or modifying game content before or while executing the game program, e.g. authoring tools specially adapted for game development or game-integrated level editor automatically by game devices or servers from real world data, e.g. measurement in live racing competition
    • A63F13/655Generating or modifying game content before or while executing the game program, e.g. authoring tools specially adapted for game development or game-integrated level editor automatically by game devices or servers from real world data, e.g. measurement in live racing competition by importing photos, e.g. of the player
    • AHUMAN NECESSITIES
    • A63SPORTS; GAMES; AMUSEMENTS
    • A63FCARD, BOARD, OR ROULETTE GAMES; INDOOR GAMES USING SMALL MOVING PLAYING BODIES; VIDEO GAMES; GAMES NOT OTHERWISE PROVIDED FOR
    • A63F13/00Video games, i.e. games using an electronically generated display having two or more dimensions
    • A63F13/80Special adaptations for executing a specific game genre or game mode
    • AHUMAN NECESSITIES
    • A63SPORTS; GAMES; AMUSEMENTS
    • A63FCARD, BOARD, OR ROULETTE GAMES; INDOOR GAMES USING SMALL MOVING PLAYING BODIES; VIDEO GAMES; GAMES NOT OTHERWISE PROVIDED FOR
    • A63F13/00Video games, i.e. games using an electronically generated display having two or more dimensions
    • A63F13/40Processing input control signals of video game devices, e.g. signals generated by the player or derived from the environment
    • A63F13/44Processing input control signals of video game devices, e.g. signals generated by the player or derived from the environment involving timing of operations, e.g. performing an action within a time slot
    • AHUMAN NECESSITIES
    • A63SPORTS; GAMES; AMUSEMENTS
    • A63FCARD, BOARD, OR ROULETTE GAMES; INDOOR GAMES USING SMALL MOVING PLAYING BODIES; VIDEO GAMES; GAMES NOT OTHERWISE PROVIDED FOR
    • A63F2300/00Features of games using an electronically generated display having two or more dimensions, e.g. on a television screen, showing representations related to the game
    • A63F2300/60Methods for processing data by generating or executing the game program
    • A63F2300/69Involving elements of the real world in the game world, e.g. measurement in live races, real video
    • A63F2300/695Imported photos, e.g. of the player
    • AHUMAN NECESSITIES
    • A63SPORTS; GAMES; AMUSEMENTS
    • A63FCARD, BOARD, OR ROULETTE GAMES; INDOOR GAMES USING SMALL MOVING PLAYING BODIES; VIDEO GAMES; GAMES NOT OTHERWISE PROVIDED FOR
    • A63F2300/00Features of games using an electronically generated display having two or more dimensions, e.g. on a television screen, showing representations related to the game
    • A63F2300/80Features of games using an electronically generated display having two or more dimensions, e.g. on a television screen, showing representations related to the game specially adapted for executing a specific type of game
    • A63F2300/8094Unusual game types, e.g. virtual cooking

Definitions

  • the present invention is in the technical field of Games. More particularly, the present invention is in the technical field of multi-media, interactive, competitive Games.
  • the present invention is a method (or process) for conducting a game with a novel mode of competition.
  • a composite picture of a face is generated by randomly choosing one facial feature at a time, just as police sketch artists draw composite faces of suspects.
  • the competition begins.
  • the mode of competition for this game is to find the “real life” person who looks the most like the generated composite picture in a predetermined amount of time.
  • FIG. 1 is an example of a random head shape chosen from a database of multiple head shapes.
  • FIG. 2 is an example of a random set of ears chosen from a database of multiple ears.
  • FIG. 3 is an example of the head shape of FIG. 1 and the ears of FIG. 2 joined together.
  • FIG. 4 is an example of a random chin chosen from a database of multiple chins.
  • FIG. 5 is an example of the chin of FIG. 4 added to the picture of the head shape and ears of FIG. 3 .
  • FIG. 6 is an example of a random nose chosen from a database of multiple noses.
  • FIG. 7 is an example of the nose of FIG. 6 added into the picture of FIG. 5 .
  • FIG. 8 is an example of a random mouth chosen from a database of multiple mouths.
  • FIG. 9 is an example of the mouth of FIG. 8 added into the picture of FIG. 7 .
  • FIG. 10 is an example of a random pair of eyes chosen from a database of multiple pairs of eyes.
  • FIG. 11 is an example of the pair of eyes of FIG. 10 added into the picture of FIG. 9 .
  • FIG. 12 is an example of a random pair of eyebrows chosen from a database of multiple eyebrows.
  • FIG. 13 is an example of the pair of eyebrows of FIG. 12 added into the picture of FIG. 11 .
  • FIG. 14 is an example of a random hairline chosen from a database of multiple hairlines.
  • FIG. 15 is an example of the hairline of FIG. 14 added into the picture of FIG. 13 , resulting in a composite picture of a complete face.
  • Step 1 is to draw a composite picture of a face using a pre-established database of facial features including, but not limited to head shapes, ears, chins, noses, mouths, eyes, eyebrows and the like, representing the variety of ethnic features in society.
  • Step 2 is the competition to locate the “real life” person who looks the most like the composite picture within a predetermined amount of time.
  • a database of multiple facial features is needed in order to be able to randomly select the different features to combine into various composite pictures of a face.
  • the database of facial features can be generated in various ways including, but not limited to, hand drawing or computer generated graphics.
  • Computer software programs currently exist that have a database of facial features as well as the computer coding to blend the facial features into a composite picture of a face. Law enforcement agencies use this type of software to draw composite pictures of suspected criminals from victim's descriptions.
  • One such existing software is sold under the brand name of FACES (www.facesid.com) and is in conjunction with U.S. Pat. No. 6,731,302 issued on May 4, 2004 to Pierre Cote mentioned above.
  • Step 1 the process of drawing the composite picture is demonstrated step by step from FIG. 1 to FIG. 15 .
  • FIG. 1 is an example of a random head shape 20 chosen from a database of multiple head shapes.
  • FIG. 2 is an example of a random set of ears 21 chosen from a database of multiple ears.
  • FIG. 3 is an example of the head shape 20 of FIG. 1 joined with the ears 21 of FIG. 2 .
  • FIG. 4 is an example of a random chin 22 chosen from a database of multiple chins.
  • FIG. 5 is an example of the chin 22 of FIG. 4 added to the picture of the head shape 20 and ears 21 of FIG. 3 .
  • FIG. 6 is an example of a random nose 23 chosen from a database of multiple noses.
  • FIG. 7 is an example of the nose 23 of FIG. 6 added into the picture of FIG. 5 .
  • FIG. 8 is an example of a random mouth 24 chosen from a database of multiple mouths.
  • FIG. 9 is an example of the mouth 24 of FIG. 8 added into the picture of FIG. 7 .
  • FIG. 10 is an example of a random pair of eyes 25 chosen from a database of multiple pairs of eyes.
  • FIG. 11 is an example of the pair of eyes 25 of FIG. 10 added into the picture of FIG. 9 .
  • FIG. 12 is an example of a random pair of eyebrows 26 chosen from a database of multiple eyebrows.
  • FIG. 13 is an example of the pair of eyebrows 26 of FIG. 12 added into the picture of FIG. 11 .
  • FIG. 14 is an example of a random hairline 27 chosen from a database of multiple hairlines.
  • FIG. 15 is an example of the hairline 27 of FIG. 14 added into the picture of FIG. 13 , resulting in a composite picture made up of a head shape 20 , ears 21 , chin 22 , nose 23 , mouth 24 , eyes 25 , eyebrows 26 , and hairline 27 .
  • Step 2 the competition begins to find the “real life” person who looks the most like the composite picture.
  • the drawn composite picture whether in person or via electronic means including, but not limited to, television, internet, cellular telephones and the like, members of the viewing audience begin submitting pictures of potential “look-a-likes”. These pictures can be submitted in various means including, but not limited to, hand delivery, mail, email, website uploads, cellular telephone uploads and the like.
  • Step 2 submissions for potential “look-a-likes” will come to an end after a predetermined amount of time including, but not limited to a day, a week, a month, etc.
  • the submitted pictures will then be analyzed to determine which picture looks the most like the composite picture. This can be done through various means including, but not limited to, an individual judge, a panel of judges, an online voting panel of all who submitted pictures, etc., or by the use of existing technology such as facial image search software or any other technology whether currently in existence or any technology that may be developed in the future.
  • Category A “winner” could obviously be the person who looks the most like the composite picture.
  • Category B “winner” could be the first person to send in a picture of the “winner” of category A. To explain this further, if multiple people sent in pictures of the same person who was chosen as the “winner” of category A, the one who was first to send in the picture would be the “winner” of category B.
  • the field of play for this competition could be any geographic area including but not limited to, a particular zip code, county, city, state, country, continent or the world as a whole.
  • the competition could be carried out with the stated boundaries being that the “winner(s)” would be limited to those people living in Hillsborough County, Florida, or in the state of Florida, or in the country of the United States of America, or in the country of Japan, or on the continent of Asia, or in the world, etc.
  • the most likely contestants would be humans, but the same method could be used to carry out a competitive game for animals.
  • a composite picture could be drawn from random characteristics of the facial features of dogs (head shape, eyes, nose, ears, spots, fur length, etc). The competition would be the same as described above for humans.
  • the advantages of the present invention include, without limitation, a novel moe of competition.
  • This mode of competition literally allows every person in the field of play a chance to be the “winner” of the game because the “winner” is chosen due to physical attributes rather than abilities.
  • the present invention is a multi-media game with the mode of competition being facial similarity to a randomly drawn composite picture.

Abstract

This invention is a method of conducting a competitive, interactive, multi-media game where the mode of competition is based on an individual's facial characteristics most closely resembling the facial characteristics of a randomly drawn composite picture, wherein the composite picture is drawn by randomly selecting facial features from a database of facial features. Using a computer database of facial features (head shapes, eyes, eyebrows, noses, mouths, hair, and the like), a composite picture of a face is generated by randomly choosing one facial feature at a time. Once a composite picture is generated, the competition begins. The objective of the competitive game is to find the “real life” person (or being) who looks the most like the generated composite picture in a predetermined amount of time.

Description

    CROSS-REFERENCE TO RELATED APPLICATIONS
  • This application is a continuation of U.S. application Ser. No. 61/336,279 filed Jan. 20, 2010, in which the contents of said application is hereby incorporated herein by reference.
  • STATEMENT REGARDING FEDERALLY SPONSORED RESEARCH OR DEVELOPMENT
  • Not Applicable
  • REFERENCE TO SEQUENCE LISTING, A TABLE, OR A COMPUTER PROGRAM LISTING COMPACT DISK APPENDIX
  • Not Applicable
  • BACKGROUND OF THE INVENTION
  • The present invention is in the technical field of Games. More particularly, the present invention is in the technical field of multi-media, interactive, competitive Games.
  • Internet Games, television Game Shows and Reality Contests are very popular forms of entertainment in the technologically advanced societies of the world. The factor that gives each game its novelty is the mode of competition that is involved in the game. In some games the mode of competition is to correctly answer more questions than the opponent(s). In other games the contestant must sing or dance better than the opponent(s); or complete an obstacle course in a faster time than their opponent(s). While prior art reveals that there are patents for methods of competitive games with various modes of competition, there are none with the mode of competition brought forth in this patent application. It is the mode of competition that establishes the game's novelty.
  • U.S. Pat. No. 7,462,104 issued on Dec. 9, 2008 to Christopher Di Cesare, is one example of a method for conducting an interactive competition, but the mode of competition of this game, as well as all other games found, is very different from the mode of competition in the proposed competitive game.
  • U.S. Pat. No. 6,731,302 issued on May 4, 2004 to Pierre Cote, provides a method and apparatus for creating composite facial images from a database of facial features. The apparatus brought forth by Cote could be used in the proposed patent to provide composite facial images, however Cote proposes no association of the composite facial images in a competitive game in his patent.
  • SUMMARY OF THE INVENTION
  • The present invention is a method (or process) for conducting a game with a novel mode of competition. Using a computer database of facial features including various head shapes, various eyes, various eyebrows, various noses, various mouths, various hair, and the like, a composite picture of a face is generated by randomly choosing one facial feature at a time, just as police sketch artists draw composite faces of suspects. Once a composite picture is generated, the competition begins. The mode of competition for this game is to find the “real life” person who looks the most like the generated composite picture in a predetermined amount of time.
  • BRIEF DESCRIPTION OF THE DRAWINGS
  • FIG. 1 is an example of a random head shape chosen from a database of multiple head shapes.
  • FIG. 2 is an example of a random set of ears chosen from a database of multiple ears.
  • FIG. 3 is an example of the head shape of FIG. 1 and the ears of FIG. 2 joined together.
  • FIG. 4 is an example of a random chin chosen from a database of multiple chins.
  • FIG. 5 is an example of the chin of FIG. 4 added to the picture of the head shape and ears of FIG. 3.
  • FIG. 6 is an example of a random nose chosen from a database of multiple noses.
  • FIG. 7 is an example of the nose of FIG. 6 added into the picture of FIG. 5.
  • FIG. 8 is an example of a random mouth chosen from a database of multiple mouths.
  • FIG. 9 is an example of the mouth of FIG. 8 added into the picture of FIG. 7.
  • FIG. 10 is an example of a random pair of eyes chosen from a database of multiple pairs of eyes.
  • FIG. 11 is an example of the pair of eyes of FIG. 10 added into the picture of FIG. 9.
  • FIG. 12 is an example of a random pair of eyebrows chosen from a database of multiple eyebrows.
  • FIG. 13 is an example of the pair of eyebrows of FIG. 12 added into the picture of FIG. 11.
  • FIG. 14 is an example of a random hairline chosen from a database of multiple hairlines.
  • FIG. 15 is an example of the hairline of FIG. 14 added into the picture of FIG. 13, resulting in a composite picture of a complete face.
  • DETAILED DESCRIPTION OF THE INVENTION
  • Referring now to the invention in more detail, the method of conducting the competitive game is a two-step process. Step 1 is to draw a composite picture of a face using a pre-established database of facial features including, but not limited to head shapes, ears, chins, noses, mouths, eyes, eyebrows and the like, representing the variety of ethnic features in society. Step 2 is the competition to locate the “real life” person who looks the most like the composite picture within a predetermined amount of time.
  • Referring now to Step 1 in more detail, a database of multiple facial features is needed in order to be able to randomly select the different features to combine into various composite pictures of a face. There must be multiple noses, multiple eyes, multiple mouths, etc. The database of facial features can be generated in various ways including, but not limited to, hand drawing or computer generated graphics. Computer software programs currently exist that have a database of facial features as well as the computer coding to blend the facial features into a composite picture of a face. Law enforcement agencies use this type of software to draw composite pictures of suspected criminals from victim's descriptions. One such existing software is sold under the brand name of FACES (www.facesid.com) and is in conjunction with U.S. Pat. No. 6,731,302 issued on May 4, 2004 to Pierre Cote mentioned above.
  • Referring still to Step 1, the process of drawing the composite picture is demonstrated step by step from FIG. 1 to FIG. 15.
  • FIG. 1 is an example of a random head shape 20 chosen from a database of multiple head shapes.
  • FIG. 2 is an example of a random set of ears 21 chosen from a database of multiple ears.
  • FIG. 3 is an example of the head shape 20 of FIG. 1 joined with the ears 21 of FIG. 2.
  • FIG. 4 is an example of a random chin 22 chosen from a database of multiple chins.
  • FIG. 5 is an example of the chin 22 of FIG. 4 added to the picture of the head shape 20 and ears 21 of FIG. 3.
  • FIG. 6 is an example of a random nose 23 chosen from a database of multiple noses.
  • FIG. 7 is an example of the nose 23 of FIG. 6 added into the picture of FIG. 5.
  • FIG. 8 is an example of a random mouth 24 chosen from a database of multiple mouths.
  • FIG. 9 is an example of the mouth 24 of FIG. 8 added into the picture of FIG. 7.
  • FIG. 10 is an example of a random pair of eyes 25 chosen from a database of multiple pairs of eyes.
  • FIG. 11 is an example of the pair of eyes 25 of FIG. 10 added into the picture of FIG. 9.
  • FIG. 12 is an example of a random pair of eyebrows 26 chosen from a database of multiple eyebrows.
  • FIG. 13 is an example of the pair of eyebrows 26 of FIG. 12 added into the picture of FIG. 11.
  • FIG. 14 is an example of a random hairline 27 chosen from a database of multiple hairlines.
  • FIG. 15 is an example of the hairline 27 of FIG. 14 added into the picture of FIG. 13, resulting in a composite picture made up of a head shape 20, ears 21, chin 22, nose 23, mouth 24, eyes 25, eyebrows 26, and hairline 27.
  • Referring now to Step 2 in more detail, after the composite picture is drawn, the competition begins to find the “real life” person who looks the most like the composite picture. Upon observing the drawn composite picture, whether in person or via electronic means including, but not limited to, television, internet, cellular telephones and the like, members of the viewing audience begin submitting pictures of potential “look-a-likes”. These pictures can be submitted in various means including, but not limited to, hand delivery, mail, email, website uploads, cellular telephone uploads and the like.
  • Still referring to Step 2 in more detail, submissions for potential “look-a-likes” will come to an end after a predetermined amount of time including, but not limited to a day, a week, a month, etc.
  • Still referring to Step 2 in more detail, the submitted pictures will then be analyzed to determine which picture looks the most like the composite picture. This can be done through various means including, but not limited to, an individual judge, a panel of judges, an online voting panel of all who submitted pictures, etc., or by the use of existing technology such as facial image search software or any other technology whether currently in existence or any technology that may be developed in the future.
  • Referring to the invention in further detail, there could be multiple categories of “winners”. Category A “winner” could obviously be the person who looks the most like the composite picture. Category B “winner” could be the first person to send in a picture of the “winner” of category A. To explain this further, if multiple people sent in pictures of the same person who was chosen as the “winner” of category A, the one who was first to send in the picture would be the “winner” of category B.
  • In further detail, the field of play for this competition could be any geographic area including but not limited to, a particular zip code, county, city, state, country, continent or the world as a whole. For example, the competition could be carried out with the stated boundaries being that the “winner(s)” would be limited to those people living in Hillsborough County, Florida, or in the state of Florida, or in the country of the United States of America, or in the country of Japan, or on the continent of Asia, or in the world, etc.
  • Still referring to the invention in further detail, the most likely contestants would be humans, but the same method could be used to carry out a competitive game for animals. To explain further, a composite picture could be drawn from random characteristics of the facial features of dogs (head shape, eyes, nose, ears, spots, fur length, etc). The competition would be the same as described above for humans.
  • The advantages of the present invention include, without limitation, a novel moe of competition. In all of the games in existence in current society, there does not appear to be any that use facial similarity to a randomly drawn composite picture as the mode of competition. This mode of competition literally allows every person in the field of play a chance to be the “winner” of the game because the “winner” is chosen due to physical attributes rather than abilities.
  • In broad embodiment, the present invention is a multi-media game with the mode of competition being facial similarity to a randomly drawn composite picture.
  • While the foregoing written description of the invention enables one of ordinary skill to make and use what is considered presently to be the best mode thereof, those of ordinary skill will understand and appreciate the existence of variations, combinations, and equivalents of the specific embodiment, method, and examples herein. The invention should therefore not be limited by the above described embodiment, method, and examples, but by all embodiments and methods within the scope and spirit of the invention.

Claims (7)

1. A process for conducting a multi-media, interactive, competitive game in which a composite face is drawn by randomly selecting facial features from a database of various head shapes, various eyes, various noses, various mouths, various chins, various eyebrows and various hair styles and then declaring the winner to be the discovered “real life” individual whose facial features are chosen, by a judging system, within a predetermined amount of time, to most closely match the composite face along, with a second winner being the individual who discovered the aforementioned winner.
2. The process of claim 1 wherein the database of facial features can be obtained from various sources including but not limited to hand drawn pictures or preexisting computer software, such as is used by law enforcement personnel to draw composite faces of criminals or any technology photographic technology which allows the isolation of facial features from a photograph.
3. The process of claim 1 wherein the drawn composite picture is displayed to the audience through some form of publicity including but not limited to a private home audience, a computer internet audience, a television audience, a billboard audience and the like.
4. The process of claim 1 wherein the participating viewers observe the drawn composite face to determine if they themselves may resemble the drawn face or if they know anyone who looks like the composite face.
5. The process of claim 1 wherein viewers submit photographs of anyone they think resembles the drawn composite picture to the contest judging system.
6. The process of claim 1 wherein the submissions are no longer accepted after a predetermined amount of time and a decision is made by the judging system as to the one submission who looks the most like the drawn composite picture.
7. The process of claim 1 wherein there would be two winners announced comprised of the one chosen that most closely resembles the composite picture and the person who submitted that photograph.
US12/930,942 2010-01-20 2011-01-20 Game process with mode of competition based on facial similarities Abandoned US20110183764A1 (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
US12/930,942 US20110183764A1 (en) 2010-01-20 2011-01-20 Game process with mode of competition based on facial similarities

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
US33627910P 2010-01-20 2010-01-20
US12/930,942 US20110183764A1 (en) 2010-01-20 2011-01-20 Game process with mode of competition based on facial similarities

Publications (1)

Publication Number Publication Date
US20110183764A1 true US20110183764A1 (en) 2011-07-28

Family

ID=44309372

Family Applications (1)

Application Number Title Priority Date Filing Date
US12/930,942 Abandoned US20110183764A1 (en) 2010-01-20 2011-01-20 Game process with mode of competition based on facial similarities

Country Status (1)

Country Link
US (1) US20110183764A1 (en)

Citations (12)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US4045883A (en) * 1969-08-25 1977-09-06 Wilfred Edward Ryan Identification kit and method
US20030175667A1 (en) * 2002-03-12 2003-09-18 Fitzsimmons John David Systems and methods for recognition learning
US6731302B1 (en) * 1998-04-29 2004-05-04 Iq Biometrix, Inc. Method and apparatus for creating facial images
US7137892B2 (en) * 1992-05-22 2006-11-21 Sitrick David H System and methodology for mapping and linking based user image integration
US20070052726A1 (en) * 2005-09-08 2007-03-08 David Wright Method and system for likeness reconstruction
US20080004109A1 (en) * 2002-12-26 2008-01-03 Amnart Kanarat Automatic attractiveness rating machine
US20080014563A1 (en) * 2004-06-04 2008-01-17 France Teleom Method for Recognising Faces by Means of a Two-Dimensional Linear Disriminant Analysis
US20080252413A1 (en) * 2007-04-11 2008-10-16 Denso Corporation Information communication system, facility apparatus, user apparatus, and methods for controlling facility apparatus and user apparatus
US20100142755A1 (en) * 2008-11-26 2010-06-10 Perfect Shape Cosmetics, Inc. Method, System, and Computer Program Product for Providing Cosmetic Application Instructions Using Arc Lines
US7804982B2 (en) * 2002-11-26 2010-09-28 L-1 Secure Credentialing, Inc. Systems and methods for managing and detecting fraud in image databases used with identification documents
US7804997B2 (en) * 2004-06-10 2010-09-28 Technest Holdings, Inc. Method and system for a three dimensional facial recognition system
US7809172B2 (en) * 2005-11-07 2010-10-05 International Barcode Corporation Method and system for generating and linking composite images

Patent Citations (12)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US4045883A (en) * 1969-08-25 1977-09-06 Wilfred Edward Ryan Identification kit and method
US7137892B2 (en) * 1992-05-22 2006-11-21 Sitrick David H System and methodology for mapping and linking based user image integration
US6731302B1 (en) * 1998-04-29 2004-05-04 Iq Biometrix, Inc. Method and apparatus for creating facial images
US20030175667A1 (en) * 2002-03-12 2003-09-18 Fitzsimmons John David Systems and methods for recognition learning
US7804982B2 (en) * 2002-11-26 2010-09-28 L-1 Secure Credentialing, Inc. Systems and methods for managing and detecting fraud in image databases used with identification documents
US20080004109A1 (en) * 2002-12-26 2008-01-03 Amnart Kanarat Automatic attractiveness rating machine
US20080014563A1 (en) * 2004-06-04 2008-01-17 France Teleom Method for Recognising Faces by Means of a Two-Dimensional Linear Disriminant Analysis
US7804997B2 (en) * 2004-06-10 2010-09-28 Technest Holdings, Inc. Method and system for a three dimensional facial recognition system
US20070052726A1 (en) * 2005-09-08 2007-03-08 David Wright Method and system for likeness reconstruction
US7809172B2 (en) * 2005-11-07 2010-10-05 International Barcode Corporation Method and system for generating and linking composite images
US20080252413A1 (en) * 2007-04-11 2008-10-16 Denso Corporation Information communication system, facility apparatus, user apparatus, and methods for controlling facility apparatus and user apparatus
US20100142755A1 (en) * 2008-11-26 2010-06-10 Perfect Shape Cosmetics, Inc. Method, System, and Computer Program Product for Providing Cosmetic Application Instructions Using Arc Lines

Similar Documents

Publication Publication Date Title
Fine Friends, impression management, and preadolescent behavior
Harrington Games, strategies and decision making
Link et al. Popular China: Unofficial culture in a globalizing society
Kim Gender inequality in eSports participation: examining League of Legends
Melzer Manhood impossible: men's struggles to control and transform their bodies and work
CN113946210A (en) Action interaction display system and method
Weiss et al. Introduction to the Sociology of Sport
Schmuhl Statecraft and stagecraft: American political life in the age of personality
US20110183764A1 (en) Game process with mode of competition based on facial similarities
Billings Communicating about sports media: Cultures collide
Sherman Big League, Big Time: The Birth Of The Arizona Diamonback, The Billion Daollar Business Of Sports
Lebel Professional athlete self-presentation on Twitter
Shyles Profiling candidate images in televised political spot advertisements for 1984: Roles and realities of presidential jousters at the height of the Reagan era
Mathewson A rhetorical analysis of the representation of student-athletes in visual media
Kabadayı Espor from A to Z
Marino Real fake fighting: The aesthetic of qualified realism in Japanese professional wrestling
KR102383530B1 (en) System and method for providing screen golf matching service
Newell BLACK FEMALE ATHLETES’USE OF SOCIAL MEDIA FOR ACTIVISM: AN INTERSECTIONAL AND CYBERFEMINIST ANALYSIS OF US HAMMER-THROWER, GWEN BERRY'S 2019 AND 2021 PODIUM PROTESTS
Canseco Vindicated: Big names, big liars, and the battle to save baseball
Wright From rookie to Rocky?: on modernity, identity and white-collar boxing
Rentner Sport and Social Issues: The Touchdowns and Strikeouts
Mikelonis Exploring the Success and Defeat of Ronda Rousey: A Content Analysis of Twitter and Newspaper Coverage from 2014-2016
Feinstein Last dance: Behind the scenes at the Final Four
Wong Telling Your Story, Building Your Brand: A Personal and Professional Playbook
Ball Ritual drama in American popular culture: The case of professional wrestling

Legal Events

Date Code Title Description
STCB Information on status: application discontinuation

Free format text: ABANDONED -- FAILURE TO RESPOND TO AN OFFICE ACTION