Patents by Inventor Neil Alldrin
Neil Alldrin 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: 10043249Abstract: An automated, computerized method is provided for processing an image. The method includes the steps of providing an image file depicting an image, in a computer memory, performing an image segregation operation on the image file to generate a set of intrinsic images corresponding to the image, modifying a preselected one of the set of intrinsic images according to a set of preselected operations and merging the modified one of the set of intrinsic images relative to the set of intrinsic images to provide a modified output image.Type: GrantFiled: July 1, 2014Date of Patent: August 7, 2018Assignee: Tandent Vision Science, Inc.Inventors: Richard Mark Friedhoff, Casey Arthur Smith, Bruce Allen Maxwell, Neil Alldrin, Steven Joseph Bushell, Timothy King Rodgers, Jr.
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Patent number: 9760799Abstract: 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, identifying shadow edges in the image, computing gradient information for the image and modifying the gradient information relative to the shadow edges for improved performance of computer functionality in an image processing operation.Type: GrantFiled: March 10, 2010Date of Patent: September 12, 2017Assignee: Tandent Vision Science, Inc.Inventors: Andrew Neil Stein, Neil Alldrin, Kshitiz Garg
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Publication number: 20140314318Abstract: An automated, computerized method is provided for processing an image. The method includes the steps of providing an image file depicting an image, in a computer memory, performing an image segregation operation on the image file to generate a set of intrinsic images corresponding to the image, modifying a preselected one of the set of intrinsic images according to a set of preselected operations and merging the modified one of the set of intrinsic images relative to the set of intrinsic images to provide a modified output image.Type: ApplicationFiled: July 1, 2014Publication date: October 23, 2014Inventors: Richard Mark FRIEDHOFF, Casey Arthur Smith, Bruce Allen Maxwell, Neil Alldrin, Steven Joseph Bushell, Timothy King Rodgers, JR.
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Patent number: 8805066Abstract: An automated, computerized method is provided for processing an image. The method includes the steps of providing an image file depicting an image, in a computer memory, performing an image segregation operation on the image file to generate a set of intrinsic images corresponding to the image, modifying a preselected one of the set of intrinsic images according to a set of preselected operations and merging the modified one of the set of intrinsic images relative to the set of intrinsic images to provide a modified output image.Type: GrantFiled: February 1, 2013Date of Patent: August 12, 2014Assignee: Tandent Vision Science, Inc.Inventors: Richard Mark Friedhoff, Casey Arthur Smith, Bruce Allen Maxwell, Neil Alldrin, Steven Joseph Bushell, Timothy King Rodgers, Jr.
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Patent number: 8577135Abstract: 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 region of the image file is specular, providing a classifier derived from a computer learning technique, computing a classification score for the selected region of the image file, as a function of the feature vector and the classifier and classifying the region as being specular, as a function of the classification score.Type: GrantFiled: November 17, 2009Date of Patent: November 5, 2013Assignee: Tandent Vision Science, Inc.Inventors: Kshitiz Garg, Neil Alldrin
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Patent number: 8483480Abstract: 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, generating an illumination image from the image; and factoring the illumination image to generate a diffuse illumination image and a harsh shadow illumination image.Type: GrantFiled: December 18, 2009Date of Patent: July 9, 2013Assignee: Tandent Vision Science, Inc.Inventors: Casey Arthur Smith, Andrew Neil Stein, Neil Alldrin
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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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Patent number: 8452109Abstract: 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, for example, a same texture, 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: January 11, 2010Date of Patent: May 28, 2013Assignee: Tandent Vision Science, Inc.Inventors: Neil Alldrin, Kshitiz Garg, Andrew Neil Stein, Kristin Jean Dana, Bruce Allen Maxwell, Casey Arthur Smith, Youngrock Yoon, Besma Roui Abidi
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Patent number: 8391601Abstract: 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, performing an image segregation operation on the image file to generate a set of intrinsic images corresponding to the image, modifying a preselected one of the set of intrinsic images according to a set of preselected operations and merging the modified one of the set of intrinsic images relative to the set of intrinsic images to provide a modified output image.Type: GrantFiled: April 30, 2009Date of Patent: March 5, 2013Assignee: Tandent Vision Science, Inc.Inventors: Richard Mark Friedhoff, Casey Arthur Smith, Bruce Allen Maxwell, Neil Alldrin, Steven Joseph Bushell, Timothy King Rodgers, Jr.
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Publication number: 20110222742Abstract: 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, identifying shadow edges in the image, computing gradient information for the image and modifying the gradient information relative to the shadow edges for improved performance of computer functionality in an image processing operation.Type: ApplicationFiled: March 10, 2010Publication date: September 15, 2011Applicant: Tandent Vision Science, Inc.Inventors: Andrew Neil Stein, Neil Alldrin, Kshitiz Garg
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Publication number: 20110170768Abstract: 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, for example, a same texture, 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: January 11, 2010Publication date: July 14, 2011Applicant: Tandent Vision Science, Inc.Inventors: Neil Alldrin, Kshitiz Garg, Andrew Neil Stein, Kristin Jean Dana, Bruce Allen Maxwell, Casey Arthur Smith, Youngrock Yoon, Besma Roui Abidi
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Publication number: 20110150358Abstract: 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, generating an illumination image from the image; and factoring the illumination image to generate a diffuse illumination image and a harsh shadow illumination image.Type: ApplicationFiled: December 18, 2009Publication date: June 23, 2011Applicant: Tandent Vision Science, Inc.Inventors: Casey Arthur Smith, Andrew Neil Stein, Neil Alldrin
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Publication number: 20110116710Abstract: 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 region of the image file is specular, providing a classifier derived from a computer learning technique, computing a classification score for the selected region of the image file, as a function of the feature vector and the classifier and classifying the region as being specular, as a function of the classification score.Type: ApplicationFiled: November 17, 2009Publication date: May 19, 2011Applicant: Tandent Vision Science, Inc.Inventors: Kshitiz Garg, Neil Alldrin
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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: 20100278448Abstract: 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, performing an image segregation operation on the image file to generate a set of intrinsic images corresponding to the image, modifying a preselected one of the set of intrinsic images according to a set of preselected operations and merging the modified one of the set of intrinsic images relative to the set of intrinsic images to provide a modified output image.Type: ApplicationFiled: April 30, 2009Publication date: November 4, 2010Applicant: Tandent Vision Science, Inc.Inventors: Richard Mark Friedhoff, Casey Arthur Smith, Bruce Allen Maxwell, Neil Alldrin, Steven Joseph Bushell, Timothy King Rodgers, JR.