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WO2002031772A8 - Method for tracking motion of a face - Google Patents

Method for tracking motion of a face

Info

Publication number
WO2002031772A8
WO2002031772A8 PCT/IB2001/002736 IB0102736W WO0231772A8 WO 2002031772 A8 WO2002031772 A8 WO 2002031772A8 IB 0102736 W IB0102736 W IB 0102736W WO 0231772 A8 WO0231772 A8 WO 0231772A8
Authority
WO
WIPO (PCT)
Prior art keywords
face
motion
person
represented
global
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.)
Ceased
Application number
PCT/IB2001/002736
Other languages
French (fr)
Other versions
WO2002031772A3 (en
WO2002031772A2 (en
Inventor
Tanju A Erdem
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
Priority claimed from US09/689,595 external-priority patent/US6294157B1/en
Application filed by Individual filed Critical Individual
Publication of WO2002031772A2 publication Critical patent/WO2002031772A2/en
Publication of WO2002031772A8 publication Critical patent/WO2002031772A8/en
Publication of WO2002031772A3 publication Critical patent/WO2002031772A3/en
Anticipated expiration legal-status Critical
Ceased legal-status Critical Current

Links

Classifications

    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/20—Analysis of motion
    • G06T7/246—Analysis of motion using feature-based methods, e.g. the tracking of corners or segments
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/16—Human faces, e.g. facial parts, sketches or expressions
    • G06V40/161—Detection; Localisation; Normalisation
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/16—Human faces, e.g. facial parts, sketches or expressions
    • G06V40/174—Facial expression recognition
    • G06V40/176—Dynamic expression
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/20—Image preprocessing
    • G06V10/24—Aligning, centring, orientation detection or correction of the image
    • G06V10/245—Aligning, centring, orientation detection or correction of the image by locating a pattern; Special marks for positioning

Landscapes

  • Engineering & Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Physics & Mathematics (AREA)
  • Multimedia (AREA)
  • Theoretical Computer Science (AREA)
  • Oral & Maxillofacial Surgery (AREA)
  • General Health & Medical Sciences (AREA)
  • Human Computer Interaction (AREA)
  • Health & Medical Sciences (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Processing Or Creating Images (AREA)
  • Image Processing (AREA)
  • Image Analysis (AREA)

Abstract

A method for tracking the motion of a person's face for the purpose of animating a 3-D face model of the same or another person is disclosed. The 3-D face model carries both the geometry (shape) and the texture (color) characteristics of the person's face. The shape of the face model is represented via a 3-D triangular mesh (geometry mesh), while the texture of the face model is represented via a 2-D composite image (texture image). Both the global motion and the local motion of the person's face are tracked. Global motion of the face involves the rotation and the translation of the face in 3-D. Local motion of the face involves the 3-D motion of the lips, eyebrows, etc., caused by speech and facial expressions. The 2-D positions of salient features of the person's face and/or markers placed on the person's face are automatically tracked in a time-sequence of 2-D images of the face. Global and local motion of the face are separately calculated using the tracked 2-D positions of the salient features or markers. Global motion is represented in a 2-D image by rotation and position vectors while local motion is represented by an action vector that specifies the amount of facial actions such as smiling-mouth, raised-eyebrows, etc.
PCT/IB2001/002736 2000-10-13 2001-10-09 Method for tracking motion of a face Ceased WO2002031772A2 (en)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
US09/689,595 US6294157B1 (en) 1999-10-14 2000-10-13 Composition containing sapogenin
US09/689,595 2000-10-13

Publications (3)

Publication Number Publication Date
WO2002031772A2 WO2002031772A2 (en) 2002-04-18
WO2002031772A8 true WO2002031772A8 (en) 2002-07-04
WO2002031772A3 WO2002031772A3 (en) 2002-10-31

Family

ID=24769119

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/IB2001/002736 Ceased WO2002031772A2 (en) 2000-10-13 2001-10-09 Method for tracking motion of a face

Country Status (1)

Country Link
WO (1) WO2002031772A2 (en)

Families Citing this family (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US6664956B1 (en) 2000-10-12 2003-12-16 Momentum Bilgisayar, Yazilim, Danismanlik, Ticaret A. S. Method for generating a personalized 3-D face model
DE102004038545A1 (en) * 2004-08-06 2006-03-16 Peters, Heiko, Dr. Positioning system and position measuring system
CN101796545A (en) * 2007-09-04 2010-08-04 索尼公司 Integrated Motion Capture
US20090110245A1 (en) * 2007-10-30 2009-04-30 Karl Ola Thorn System and method for rendering and selecting a discrete portion of a digital image for manipulation
CN105975935B (en) * 2016-05-04 2019-06-25 腾讯科技（深圳）有限公司 A kind of face image processing process and device
KR102540756B1 (en) * 2022-01-25 2023-06-08 주식회사 딥브레인에이아이 Apparatus and method for generating speech synsthesis image
KR102540759B1 (en) * 2022-02-09 2023-06-08 주식회사 딥브레인에이아이 Apparatus and method for generating speech synsthesis image
KR102584485B1 (en) * 2022-02-14 2023-10-04 주식회사 딥브레인에이아이 Apparatus and method for generating speech synsthesis image
KR102584484B1 (en) * 2022-02-14 2023-10-04 주식회사 딥브레인에이아이 Apparatus and method for generating speech synsthesis image

Family Cites Families (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2894241B2 (en) * 1995-04-21 1999-05-24 村田機械株式会社 Image recognition device
US5802220A (en) * 1995-12-15 1998-09-01 Xerox Corporation Apparatus and method for tracking facial motion through a sequence of images

Also Published As

Publication number Publication date
WO2002031772A3 (en) 2002-10-31
WO2002031772A2 (en) 2002-04-18

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