U.S. patents available from 1976 to present.
U.S. patent applications available from 2005 to present.

Rapid computer modeling of faces for animation

Patent 6807290 Issued on October 19, 2004. Estimated Expiration Date: Icon_subject January 4, 2021. Estimated Expiration Date is calculated based on simple USPTO term provisions. It does not account for terminal disclaimers, term adjustments, failure to pay maintenance fees, or other factors which might affect the term of a patent.

Patent References

Pattern recognition device
Patent #: 5469512
Issued on: 11/21/1995
Inventor: Fujita, et al.

Apparatus and method for recognizing facial expressions and facial gestures in a sequence of images
Patent #: 5774591
Issued on: 06/30/1998
Inventor: Black, et al.

Model based image editing and correction
Patent #: 5990901
Issued on: 11/23/1999
Inventor: Lawton, et al.

Method and system for capturing and representing 3D geometry, color and shading of facial expressions and other animated objects
Patent #: 6072496
Issued on: 06/06/2000
Inventor: Guenter, et al.

Face recognition from video images
Patent #: 6301370
Issued on: 10/09/2001
Inventor: Steffens, et al.

Method and apparatus for aligning and comparing images of the face and body from different imagers
Patent #: 6496594
Issued on: 12/17/2002
Inventor: Prokoski

Method for generating a personalized 3-D face model Patent #: 6664956
Issued on: 12/16/2003
Inventor: Erdem

Inventors

Assignee

Application

No. 09754938 filed on 01/04/2001

US Classes:

382/118, Using a facial characteristic382/154, 3-D or stereo imaging analysis382/236, Interframe coding (e.g., difference or motion detection)345/419Three-dimension

Examiners

Primary: Boudreau, Leo H.
Assistant: Sherali, Ishrat

Attorney, Agent or Firm

International Class

G06K 900

Abstract

Described herein is a technique for creating a 3D face model using images obtained from an inexpensive camera associated with a general-purpose computer. Two still images of the user are captured, and two video sequences. The user is asked to identify five facial features, which are used to calculate a mask and to perform fitting operations. Based on a comparison of the still images, deformation vectors are applied to a neutral face model to create the 3D model. The video sequences are used to create a texture map. The process of creating the texture map references the previously obtained 3D model to determine poses of the sequential video images.

Other References

  • Soon-Cang Pei et al., Global Motion Estimation in Model-Based Image Coding by Tracking Three-Dimensional Contour Featu Points, IEEE 1051-8215/98, 181-190.*
  • Pighin et al., Resynthesizing facial animation through 3D model-tracking, IEEE Inspec Accession No. 6371194, 1-8.*
  • Shakunaga et al., Integration of eigentemplate and structure matching for automatic facial feature detection, IEEE Inspec Accession No. 5920393, 1-6.*
  • Perlin, Reatme responsive animation with personality, IEEE 1071-2626/95, 5-15.*
  • Skaria et al., Modeling subdivision control meshes for creating coorton faces, IEEE 0-7695-0853-7/01, 216-225.*
  • Parke, Computer graphics models for the human face, IEEE CH515-6/79/0000-0724, 724-727.*
  • Terzopoulos et al., Analysis of facial images using physical and anatomical models, IEEE CH2934-8/90/0000/072, 727-732.*
  • DiPaola, FaceSpace: a facial spatial domain toolkit, IEEE 1093-9547, 1-5.*
  • DeCarlo et al. An anthropometric face model using variational techniques, University of Pennsylvania, 1-8.*
  • Blanz et al., Face recohgnition based on fitting a 3d morphable mode, IEEE 0162-8828/03, 1063-1074.*
  • Zheng et al., 3D models from contours, IEEE 0-8186, 349-353.*
  • Vetter et al., Linear object classes and image synthesis, IEEE 0162-8828/97, 733-741.*
  • Dariush et al., Spatiotemporal analysis of face profiles, IEEE Inspec Accession No. 5920418, 248-253.*
  • Akimoto et al., Automatic creation of 3D facial models, IEEE 0272-16/93, 16-22.*
  • Faugeras “Three Dimensional Computer Vision”; 1999; pp. 1-663.
  • Zhang; “A New Multistage Approach to Motion and Structure Estimation: From Essential Parameters to Euclidean Motion Via Fundamental Matrix”; Jun. 1996; pp. 1-38.
  • More; “The Levenberg-Marquardt Algorithm: Implentation and Theory”; 1978; pp. 105-116.
  • Jebara et al; “Parametrized Structure from Motion for 3D Adaptive Feedback Tracking of Faces”; 1997, pp. 144-150.
  • Fua; “Using Model-Driven Bundle-Adjustment to Model Heads from Raw Video Sequence”; pp. 1-8.
  • Zhang; “On sthe Optimization Criteria Used in Two-View Motion Analysis”; Jul. 1998; pp. 717-729.
  • Pighin et al; “Synthesizing Realistic Facial Expressions from Photographs”; pp. 1-20.
  • Fua et al; “From Regular Images to Animated Heads: A Least Squares Approach”; pp. 1-15.
  • Kang et al; “Appearance-based Structure from Motion Using Linear Classes of 3-D Models”; pp. i-ii, 1-32.
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