Abstract: 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:
Application
Filed:
January 11, 2010
Publication date:
July 14, 2011
Applicant:
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
Abstract: 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 a dominant region of single reflectance in the image and segregating the image into intrinsic images as a function of the dominant region of single reflectance.
Abstract: 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:
Application
Filed:
December 18, 2009
Publication date:
June 23, 2011
Applicant:
Tandent Vision Science, Inc.
Inventors:
Casey Arthur Smith, Andrew Neil Stein, Neil Alldrin
Abstract: In a first exemplary embodiment of the present invention, an automated, computerized method is provided for determining illumination information in an image. According to a feature of the present invention, the method comprises the steps of identifying depth information in the image, identifying spatio-spectral information for the image, as a function of the depth information and utilizing the spatio-spectral information to identify illumination flux in the image.
Type:
Application
Filed:
January 13, 2011
Publication date:
June 16, 2011
Applicant:
Tandent Vision Science, Inc.
Inventors:
Richard Mark Friedhoff, Bruce Allen Maxwell, Steven Joseph Bushell
Abstract: 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.
Abstract: In a first exemplary embodiment of the present invention, a camera is provided. The camera comprises a lens and a sensor to record an image focused by the lens in N color bands, wherein N equals a number of color bands, with the number and respective locations and widths of the N color bands being selected to optimize the image for processing.
Type:
Grant
Filed:
April 30, 2007
Date of Patent:
May 3, 2011
Assignee:
Tandent Vision Science, Inc.
Inventors:
Richard Mark Friedhoff, Casey Arthur Smith, Steven Joseph Bushell
Abstract: In a first exemplary embodiment of the present invention, an automated, computerized method for learning object recognition in an image is provided. According to a feature of the present invention, the method comprises the steps of providing a training set of standard images, calculating intrinsic images corresponding to the standard images and building a classifier as a function of the intrinsic images.
Type:
Application
Filed:
October 25, 2010
Publication date:
March 31, 2011
Applicant:
Tandent Vision Science, Inc.
Inventors:
Richard Mark Friedhoff, Bruce Allen Maxwell
Abstract: 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:
Application
Filed:
September 15, 2009
Publication date:
March 17, 2011
Applicant:
Tandent Vision Science, Inc.
Inventors:
Andrew Neil Stein, Bartholomeus Christianus Leonardus Nabbe, Casey Arthur Smith, James Andrew Bagnell, David Allen Tolliver
Abstract: 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, at a computer system, receiving an image recorded at and transmitted from a remote source, at the computer system, processing the transmitted image, for segregation of the transmitted image into a corresponding intrinsic image and, at the computer system, processing the corresponding intrinsic image to perform a preselected task, for a result. As a further feature of the first exemplary embodiment of the present invention, the remote source comprises a cell phone or remote computer system.
Type:
Application
Filed:
September 15, 2009
Publication date:
March 17, 2011
Applicant:
Tandent Vision Science, Inc.
Inventors:
Matthias M. de HAAN, Richard Mark FRIEDHOFF, Timothy King RODGERS, JR., Casey Arthur SMITH, Youngrock YOON
Abstract: 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 an array of pixels, in a computer memory, performing a tone mapping method on the image, performing a log chromaticity method on the image and calculating a color value for each pixel as a function of information relevant to the tone mapping method and the log chromaticity method.
Abstract: In a first exemplary embodiment of the present invention, an automated, computerized method is provided for determining illumination information in an image. According to a feature of the present invention, the method comprises the steps of identifying depth information in the image, identifying spatio-spectral information for the image, as a function of the depth information and utilizing the spatio-spectral information to identify illumination flux in the image.
Type:
Grant
Filed:
October 11, 2006
Date of Patent:
February 22, 2011
Assignee:
Tandent Vision Science, Inc.
Inventors:
Steven Joseph Bushell, Richard Mark Friedhoff, Bruce Allen Maxwell
Abstract: The present invention provides methods and apparatus for image processing in which brightness boundaries of an image are identified and analyzed in at least two, and more preferably three or more, spectral bands to distinguish illumination boundaries from reflectance boundaries. For example, in one embodiment of the invention, a brightness boundary of the image can be identified as an illumination boundary if at least two wavelength bands of the image exhibit a substantially common shift in brightness across the boundary.
Abstract: An endoscope including an outer elongate tube and an inner shaft that runs through the outer elongate tube and can be advanced independently of the outer tube. In addition, the endoscope includes an imaging capsule including at least one image capturing unit, mounted on a distal end of the inner shaft. The imaging capsule has a largest cross-section area smaller than the cross section area of the outer elongate tube.
Abstract: In a first exemplary embodiment of the present invention, an automated, computerized method is provided for an automatic chromatic aberration correction. The method comprises the steps of setting a range of test correction factors, applying the test correction factors of the range, incrementally, to a test block of the image, measuring chromatic aberration error at the test block after application of each of the test correction factors, and selecting a test correction factor having a lowest chromatic aberration error.
Type:
Grant
Filed:
April 18, 2006
Date of Patent:
January 4, 2011
Assignee:
Tandent Vision Science, Inc.
Inventors:
Steven Joseph Bushell, Bruce Allen Maxwell, Richard Mark Friedhoff
Abstract: 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 file depicting an image, in a computer memory, identifying information in the image file relevant to a logical deduction regarding material and illumination aspects of an image and selected from information relevant to spatio-spectral aspects of an image and constituents of color; defining a constraint as a function of the information; and utilizing the constraint in an image segregation operation.
Abstract: In a first exemplary embodiment of the present invention, an automated, computerized method for learning object recognition in an image is provided. According to a feature of the present invention, the method comprises the steps of providing a training set of standard images, calculating intrinsic images corresponding to the standard images and building a classifier as a function of the intrinsic images.
Type:
Grant
Filed:
November 16, 2006
Date of Patent:
December 14, 2010
Assignee:
Tandent Vision Science, Inc.
Inventors:
Richard Mark Friedhoff, Bruce Allen Maxwell
Abstract: 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:
Application
Filed:
May 26, 2009
Publication date:
December 2, 2010
Applicant:
Tandent Vision Science, Inc.
Inventors:
David Allen Tolliver, Kristin Jean Dana, Andrew Neil Stein, Neil Alldrin
Abstract: 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:
Application
Filed:
April 30, 2009
Publication date:
November 4, 2010
Applicant:
Tandent Vision Science, Inc.
Inventors:
Richard Mark Friedhoff, Casey Arthur Smith, Bruce Allen Maxwell, Neil Alldrin, Steven Joseph Bushell, Timothy King Rodgers, JR.
Abstract: The present invention is directed toward the design of a holding apparatus which allows contact lens lathes to hold contact lens buttons during the contact lens manufacturing process. The holding apparatus functions to hold lenses manufactured from a different sized stock than what the lens manufacturing equipment is designed to hold. In general the holding apparatus has a circular portion having a mating surface on a one side and a cylindrical protrusion extending from the other side. A contact lens lathe can hold the cylindrical protrusion of the holding apparatus while the mating surface mates with a surface on a contact lens button. The lens button and holding apparatus surfaces can be modified to allow more efficient machining of the lens buttons.
Abstract: The present invention relates to an intraocular lens which exhibits reduced or eliminated glistenings when implanted into the eye of a patient in need thereof and to a method of preparing such lens.