Patents by Inventor David Allen Tolliver
David Allen Tolliver has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).
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Patent number: 8600169Abstract: 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.Type: GrantFiled: October 10, 2012Date of Patent: December 3, 2013Assignee: Tandent Vision Science, Inc.Inventors: Andrew Neil Stein, Bartholomeus Christianus Leonardus Nabbe, Casey Arthur Smith, James Andrew Bagnell, David Allen Tolliver
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Patent number: 8548238Abstract: A method of partitioning a weighted combinatorial graph representative of a dataset consists of the steps of generating a generalized Laplacian matrix corresponding to the combinatorial graph, computing the eigenstructure of the generalized Laplacian matrix, determining if an end criterion is satisfied using the eigenstructure, and if the end criterion is not satisfied, calculating new values for at least some of the plurality of weighting factors using the eigenstructure, updating the combinatorial graph with the new values for at least some of the weighting factors, and returning to the generating step.Type: GrantFiled: May 2, 2008Date of Patent: October 1, 2013Assignee: Carnegie Mellon UniversityInventors: David Allen Tolliver, Gary L. Miller
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Patent number: 8478029Abstract: 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, forming a set of selectively varied representations of the image file and performing an image segregation operation on at least one preselected representation of the image of the image file, to generate intrinsic images corresponding to the image. According to a feature of the exemplary embodiment of the present invention, the selectively varied representations comprise multi-resolution representations such as a scale-spaced pyramid of representations. In a further feature of the exemplary embodiment of the present invention, the intrinsic images comprise a material image and an illumination image.Type: GrantFiled: May 26, 2009Date of Patent: July 2, 2013Assignee: Tandent Vision Science, Inc.Inventors: David Allen Tolliver, Kristin Jean Dana, Andrew Neil Stein, Neil Alldrin
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Publication number: 20130039571Abstract: 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.Type: ApplicationFiled: October 10, 2012Publication date: February 14, 2013Applicant: Tandent Vision Science, Inc.Inventors: Andrew Neil Stein, Bartholomeus Christianus Leonardus Nabbe, Casey Arthur Smith, James Andrew Bagnell, David Allen Tolliver
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Patent number: 8311338Abstract: 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.Type: GrantFiled: September 15, 2009Date of Patent: November 13, 2012Assignee: Tandent Vision Science, Inc.Inventors: Andrew Neil Stein, Bartholomeus Christianus Leonardus Nabbe, Casey Arthur Smith, James Andrew Bagnell, David Allen Tolliver
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Patent number: 8260050Abstract: In an exemplary embodiment of the present invention, a test bed for optimizing an image segregation is provided. According to a feature of the present invention, the test bed comprises a memory storing an image file containing an image, a set of operations, a set of constraint software modules and a set of parameters relevant to the image, a transform module for performing a preselected one of the set of operations, defined by a preselected one of the set of constraint software modules, on the image, as a function of preselected ones of the set of parameters, to provide an output image, a test module utilizing the transform module output image, an analysis module for analyzing test module performance, and a feedback loop for varying selected ones of the operations, constraint software modules and parameters, for input to the transform module, to provide a new output image for input to the test module.Type: GrantFiled: December 5, 2008Date of Patent: September 4, 2012Assignee: Tandent Vision Science, Inc.Inventors: Andrew Neil Stein, Iljung Samuel Kwak, Casey Arthur Smith, Bruce Allen Maxwell, David Allen Tolliver, James Andrew Bagnell
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Patent number: 8139867Abstract: 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.Type: GrantFiled: December 5, 2008Date of Patent: March 20, 2012Assignee: Tandent Vision Science, Inc.Inventors: Bruce Allen Maxwell, Casey Arthur Smith, David Allen Tolliver, James Andrew Bagnell, Andrew Neil Stein, Iljung Samuel Kwak, Kristin Jean Dana, Steven Joseph Bushell, Timothy King Rodgers, Jr., Bartholomeus Christianus Leonardus Nabbe, Milan Diebel, Richard Mark Friedhoff
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Patent number: 8139850Abstract: 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.Type: GrantFiled: December 5, 2008Date of Patent: March 20, 2012Inventors: Bruce Allen Maxwell, Casey Arthur Smith, David Allen Tolliver, James Andrew Bagnell, Andrew Neil Stein, Iljung Samuel Kwak, Kristin Jean Dana, Steven Joseph Bushell, Timothy King Rodgers, Jr., Bartholomeus Christianus Leonardus Nabbe, Milan Diebel, Richard Mark Friedhoff
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Publication number: 20110064308Abstract: 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.Type: ApplicationFiled: September 15, 2009Publication date: March 17, 2011Applicant: Tandent Vision Science, Inc.Inventors: Andrew Neil Stein, Bartholomeus Christianus Leonardus Nabbe, Casey Arthur Smith, James Andrew Bagnell, David Allen Tolliver
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Publication number: 20100303348Abstract: 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, forming a set of selectively varied representations of the image file and performing an image segregation operation on at least one preselected representation of the image of the image file, to generate intrinsic images corresponding to the image. According to a feature of the exemplary embodiment of the present invention, the selectively varied representations comprise multi-resolution representations such as a scale-spaced pyramid of representations. In a further feature of the exemplary embodiment of the present invention, the intrinsic images comprise a material image and an illumination image.Type: ApplicationFiled: May 26, 2009Publication date: December 2, 2010Applicant: Tandent Vision Science, Inc.Inventors: David Allen Tolliver, Kristin Jean Dana, Andrew Neil Stein, Neil Alldrin
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Publication number: 20100142805Abstract: 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.Type: ApplicationFiled: December 5, 2008Publication date: June 10, 2010Applicant: Tandent Vision Science, Inc.Inventors: Bruce Allen Maxwell, Casey Arthur Smith, David Allen Tolliver, James Andrew Bagnell, Andrew Neil Stein, Iljung Samuel Kwak, Kristin Jean Dana, Steven Joseph Bushell, Timothy King Rodgers, JR., Bartholomeus Christianus Leonardus Nabbe, Milan Diebel, Richard Mark Friedhoff
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Publication number: 20100142846Abstract: 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, identifying a constraint defined by spatio-spectral aspects of the image, providing an optimization function augmented by an L1, L? function, and utilizing the augmented optimization function to perform an optimization operation as a function of the constraint to generate an intrinsic image corresponding to the image.Type: ApplicationFiled: December 5, 2008Publication date: June 10, 2010Applicant: Tandent Vision Science, Inc.Inventors: David Allen Tolliver, James Andrew Bagnell, Andrew Neil Stein
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Publication number: 20100142825Abstract: 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.Type: ApplicationFiled: December 5, 2008Publication date: June 10, 2010Applicant: Tandent Vision Science, Inc.Inventors: Bruce Allen Maxwell, Casey Arthur Smith, David Allen Tolliver, James Andrew Bagnell, Andrew Neil Stein, Iljung Samuel Kwak, Kristin Jean Dana, Steven Joseph Bushell, Timothy King Rodgers, JR., Bartholomeus Christianus Leonardus Nabbe, Milan Diebel, Richard Mark Friedhoff
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Publication number: 20100142818Abstract: In an exemplary embodiment of the present invention, a test bed for optimizing an image segregation is provided. According to a feature of the present invention, the test bed comprises a memory storing an image file containing an image, a set of operations, a set of constraint software modules and a set of parameters relevant to the image, a transform module for performing a preselected one of the set of operations, defined by a preselected one of the set of constraint software modules, on the image, as a function of preselected ones of the set of parameters, to provide an output image, a test module utilizing the transform module output image, an analysis module for analyzing test module performance, and a feedback loop for varying selected ones of the operations, constraint software modules and parameters, for input to the transform module, to provide a new output image for input to the test module.Type: ApplicationFiled: December 5, 2008Publication date: June 10, 2010Applicant: Tandent Vision Science, Inc.Inventors: Andrew Neil Stein, Iljung Samuel Kwak, Casey Arthur Smith, Bruce Allen Maxwell, David Allen Tolliver, James Andrew Bagnell
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Publication number: 20090028433Abstract: A method of partitioning a weighted combinatorial graph representative of a dataset consists of the steps of generating a generalized Laplacian matrix corresponding to the combinatorial graph, computing the eigenstructure of the generalized Laplacian matrix, determining if an end criterion is satisfied using the eigenstructure, and if the end criterion is not satisfied, calculating new values for at least some of the plurality of weighting factors using the eigenstructure, updating the combinatorial graph with the new values for at least some of the weighting factors, and returning to the generating step.Type: ApplicationFiled: May 2, 2008Publication date: January 29, 2009Inventors: David Allen Tolliver, Gary L. Miller