WO1997044757A3 - Principal component analysis of image/control-point location coupling for the automatic location of control points - Google Patents

Principal component analysis of image/control-point location coupling for the automatic location of control points Download PDF

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Publication number
WO1997044757A3
WO1997044757A3 PCT/US1997/008190 US9708190W WO9744757A3 WO 1997044757 A3 WO1997044757 A3 WO 1997044757A3 US 9708190 W US9708190 W US 9708190W WO 9744757 A3 WO9744757 A3 WO 9744757A3
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WO
WIPO (PCT)
Prior art keywords
data
image
appearance
feature
model
Prior art date
Application number
PCT/US1997/008190
Other languages
French (fr)
Other versions
WO1997044757A2 (en
Inventor
Michele Covell
Christoph Bregler
Original Assignee
Interval Research Corp
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 Interval Research Corp filed Critical Interval Research Corp
Priority to EP97923654A priority Critical patent/EP0901667A2/en
Priority to JP09542523A priority patent/JP2000511316A/en
Priority to AU29411/97A priority patent/AU734055B2/en
Publication of WO1997044757A2 publication Critical patent/WO1997044757A2/en
Publication of WO1997044757A3 publication Critical patent/WO1997044757A3/en

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Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR 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
    • G06V40/168—Feature extraction; Face representation
    • G06V40/171—Local features and components; Facial parts ; Occluding parts, e.g. glasses; Geometrical relationships
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/40—Extraction of image or video features
    • G06V10/44—Local feature extraction by analysis of parts of the pattern, e.g. by detecting edges, contours, loops, corners, strokes or intersections; Connectivity analysis, e.g. of connected components
    • G06V10/443—Local feature extraction by analysis of parts of the pattern, e.g. by detecting edges, contours, loops, corners, strokes or intersections; Connectivity analysis, e.g. of connected components by matching or filtering
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/40—Extraction of image or video features
    • G06V10/46—Descriptors for shape, contour or point-related descriptors, e.g. scale invariant feature transform [SIFT] or bags of words [BoW]; Salient regional features
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/70—Arrangements for image or video recognition or understanding using pattern recognition or machine learning
    • G06V10/74—Image or video pattern matching; Proximity measures in feature spaces
    • G06V10/75—Organisation of the matching processes, e.g. simultaneous or sequential comparisons of image or video features; Coarse-fine approaches, e.g. multi-scale approaches; using context analysis; Selection of dictionaries
    • G06V10/757—Matching configurations of points or features
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/40—Extraction of image or video features
    • G06V10/46—Descriptors for shape, contour or point-related descriptors, e.g. scale invariant feature transform [SIFT] or bags of words [BoW]; Salient regional features
    • G06V10/469—Contour-based spatial representations, e.g. vector-coding
    • G06V10/476—Contour-based spatial representations, e.g. vector-coding using statistical shape modelling, e.g. point distribution models

Abstract

The identification of hidden data, such as feature-based control points in an image, from a set of observable data, such as the image, is achieved through a two-stage approach. The first stage involves a learning process, in which a number of sample data sets, e.g. images, are analyzed to identify the correspondence between observable data, such as visual aspects of the image, and the desired hidden data, such as the control points. Two models are created. A feature appearance-only model is created from aligned examples of the feature in the observed data. In addition, each labeled data set is processed to generate a coupled model of the aligned observed data and the associated hidden data. In the image processing embodiment, these two models might be affine manifold models of an object's appearance and of the coupling between that appearance and a set of locations of the object's surface. In the second stage of the process, the modeled feature is located in an unmarked, unaligned data set, using the feature appearance-only model. This location is used as an alignment point and the coupled model is then applied to the aligned data, giving an estimate of the hidden data values for that data set. In the image processing example, the object's appearance model is compared to different image locations. The matching locations are then used as alignment points for estimating the locations on the object's surface from the appearance in that aligned image and from the coupled model.
PCT/US1997/008190 1996-05-21 1997-05-21 Principal component analysis of image/control-point location coupling for the automatic location of control points WO1997044757A2 (en)

Priority Applications (3)

Application Number Priority Date Filing Date Title
EP97923654A EP0901667A2 (en) 1996-05-21 1997-05-21 Principal component analysis of image/control-point location coupling for the automatic location of control points
JP09542523A JP2000511316A (en) 1996-05-21 1997-05-21 Fundamental component analysis of image / control point position combination for automatic control point positioning
AU29411/97A AU734055B2 (en) 1996-05-21 1997-05-21 Principle component analysis of image/control-point location coupling for the automatic location of control points

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
US08/651,108 US6188776B1 (en) 1996-05-21 1996-05-21 Principle component analysis of images for the automatic location of control points
US08/651,108 1996-05-21

Publications (2)

Publication Number Publication Date
WO1997044757A2 WO1997044757A2 (en) 1997-11-27
WO1997044757A3 true WO1997044757A3 (en) 1998-02-26

Family

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Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/US1997/008190 WO1997044757A2 (en) 1996-05-21 1997-05-21 Principal component analysis of image/control-point location coupling for the automatic location of control points

Country Status (6)

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US (3) US6188776B1 (en)
EP (1) EP0901667A2 (en)
JP (1) JP2000511316A (en)
AU (1) AU734055B2 (en)
CA (1) CA2255957A1 (en)
WO (1) WO1997044757A2 (en)

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