Tandent Vision Science, Inc.

Bartholomeus Christianus Leonardus Nabbe

Casey Arthur Smith

James Andrew Bagnell

Andrew Neil Stein

David Tolliver

Richard Mark Friedhoff

Bruce Allen Maxwell

Steven Joseph Bushell

Kristin Jean Dana

Timothy King Rodgers, Jr

Iljung Samuel Kwak

Milan Diebel

David Allen Tolliver

Lljung Samuel Kwak

Richard Mark Friedhof

In a first exemplary embodiment of the present invention, an automated, computerized method is provided for processing an image. According to a feature of the present invention, the method comprises the steps of providing an image file depicting an image, in a computer memory, assembling a feature vector for the image file, the feature vector containing information regarding a likelihood that a selected pair of regions of the image file are of a same intrinsic characteristic, providing a classifier derived from a computer learning technique, computing a classification score for the selected pair of regions of the image file, as a function of the feature vector and the classifier and classifying the regions as being of the same intrinsic characteristic, as a function of the classification score.

Method and system for learning a same-material constraint in an image

In an exemplary embodiment of the present invention, an automated, computerized method is provided for processing an image. According to a feature of the present invention, the method comprises the steps of providing an image, organizing spatio-spectral information for the image in a matrix equation expressed by: [A][x]=[b], wherein [A] expresses values determined by a constraining relationship imposed upon the spatio-spectral information, [b] expresses recorded information for the image, and [x] expresses an unknown material/illumination component of the image, and utilizing the matrix equation in an image segregation operation.

Constraint generation for use in image segregation

In an exemplary embodiment of the present invention, an automated, computerized method is provided for processing an image. According to a feature of the present invention, the method comprises the steps of generating spatio-spectral information for the image, defining a constraint as a function of the spatio-spectral information, and performing an optimization operation as a function of the constraint to generate an intrinsic image corresponding to the image.

Image segregation system architecture

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Hillsboro, OR, United States of America

Bartholomeus Christianus Leonardus Nabbe