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WO2009143163A3 - Face relighting from a single image - Google Patents

Face relighting from a single image Download PDF

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Publication number
WO2009143163A3
WO2009143163A3 PCT/US2009/044533 US2009044533W WO2009143163A3 WO 2009143163 A3 WO2009143163 A3 WO 2009143163A3 US 2009044533 W US2009044533 W US 2009044533W WO 2009143163 A3 WO2009143163 A3 WO 2009143163A3
Authority
WO
WIPO (PCT)
Prior art keywords
symmetric
field
tensor
tensors
human face
Prior art date
Application number
PCT/US2009/044533
Other languages
French (fr)
Other versions
WO2009143163A2 (en
Inventor
Baba C. Vemuri
Angelos Barmpoutis
Arunava Benerjee
Ritwik Kailash Kumar
Original Assignee
University Of Florida Research Foundation, Inc.
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 University Of Florida Research Foundation, Inc. filed Critical University Of Florida Research Foundation, Inc.
Publication of WO2009143163A2 publication Critical patent/WO2009143163A2/en
Publication of WO2009143163A3 publication Critical patent/WO2009143163A3/en

Links

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T15/003D [Three Dimensional] image rendering
    • G06T15/50Lighting effects
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00Arrangements for image or video recognition or understanding
    • G06V10/40Extraction of image or video features
    • G06V10/60Extraction of image or video features relating to illumination properties, e.g. using a reflectance or lighting model
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/16Human faces, e.g. facial parts, sketches or expressions
    • G06V40/168Feature extraction; Face representation

Landscapes

  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Oral & Maxillofacial Surgery (AREA)
  • Multimedia (AREA)
  • Health & Medical Sciences (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • General Health & Medical Sciences (AREA)
  • Human Computer Interaction (AREA)
  • Computer Graphics (AREA)
  • Software Systems (AREA)
  • Image Processing (AREA)

Abstract

Disclosed is a method for estimating the apparent bi-directional reflectance distribution function field of a human face using anti-symmetric tensor splines, comprising: defining the complex geometry and reflectance properties of the human face by a field of spherical functions; approximating the field of spherical functions by anti-symmetric higher-order Cartesian tensors within a single pixel; applying a B-spline basis as the weighting function of the anti-symmetric higher-order Cartesian tensors; fitting the tensor spline basis to a given set of two-dimensional facial images of a human subject with a fixed pose and associated lighting directions by minimizing the energy of an objective function with respect to the unknown tensor coefficients of said anti-symmetric higher-order Cartesian tensors; and analytically computing the derivatives of the objective function for its efficient minimization.
PCT/US2009/044533 2008-05-21 2009-05-19 Face relighting from a single image WO2009143163A2 (en)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
US5500208P 2008-05-21 2008-05-21
US61/055,002 2008-05-21

Publications (2)

Publication Number Publication Date
WO2009143163A2 WO2009143163A2 (en) 2009-11-26
WO2009143163A3 true WO2009143163A3 (en) 2012-04-26

Family

ID=41340824

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/US2009/044533 WO2009143163A2 (en) 2008-05-21 2009-05-19 Face relighting from a single image

Country Status (1)

Country Link
WO (1) WO2009143163A2 (en)

Families Citing this family (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102163330B (en) * 2011-04-02 2012-12-05 西安电子科技大学 Multi-view face synthesis method based on tensor resolution and Delaunay triangulation
CN105447906B (en) * 2015-11-12 2018-03-13 浙江大学 The method that weight illumination render is carried out based on image and model calculating illumination parameter
CN105447829B (en) * 2015-11-25 2018-06-08 小米科技有限责任公司 Image processing method and device
CN115049559A (en) * 2022-06-28 2022-09-13 北京奇艺世纪科技有限公司 Model training method, human face image processing method, human face model processing device, electronic equipment and readable storage medium

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20060280342A1 (en) * 2005-06-14 2006-12-14 Jinho Lee Method and system for generating bi-linear models for faces
US20070014435A1 (en) * 2005-07-13 2007-01-18 Schlumberger Technology Corporation Computer-based generation and validation of training images for multipoint geostatistical analysis
US20070031028A1 (en) * 2005-06-20 2007-02-08 Thomas Vetter Estimating 3d shape and texture of a 3d object based on a 2d image of the 3d object
US7215802B2 (en) * 2004-03-04 2007-05-08 The Cleveland Clinic Foundation System and method for vascular border detection

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US7215802B2 (en) * 2004-03-04 2007-05-08 The Cleveland Clinic Foundation System and method for vascular border detection
US20060280342A1 (en) * 2005-06-14 2006-12-14 Jinho Lee Method and system for generating bi-linear models for faces
US20070031028A1 (en) * 2005-06-20 2007-02-08 Thomas Vetter Estimating 3d shape and texture of a 3d object based on a 2d image of the 3d object
US20070014435A1 (en) * 2005-07-13 2007-01-18 Schlumberger Technology Corporation Computer-based generation and validation of training images for multipoint geostatistical analysis

Also Published As

Publication number Publication date
WO2009143163A2 (en) 2009-11-26

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