ANDREW C STEIN
Vehicle Board in Pittsburgh, PA

License number
Pennsylvania VR007351L
Category
Vehicle Board
Type
Vehicle Representative
Address
Address
Pittsburgh, PA 15205

Personal information

See more information about ANDREW C STEIN at radaris.com
Name
Address
Phone
Andrew Stein, age 70
5 Maple Ave, Bala Cynwyd, PA 19004
(610) 664-7990
Andrew Stein, age 64
3450 School Rd, Kintnersville, PA 18930
Andrew Stein, age 54
PO Box 8040, Pittsburgh, PA 15216
Andrew Stein, age 37
143 Oakhurst Rd, Pittsburgh, PA 15215
(412) 781-8465
Andrew Stein, age 44
131 Chesapeake Dr, Newtown, PA 18940
(215) 579-1215

Professional information

See more information about ANDREW C STEIN at trustoria.com
Andrew Stein Photo 1
Multi-Resolution Analysis In Image Segregation

Multi-Resolution Analysis In Image Segregation

US Patent:
8478029, Jul 2, 2013
Filed:
May 26, 2009
Appl. No.:
12/454926
Inventors:
David Allen Tolliver - Pittsburgh PA, US
Kristin Jean Dana - Spring Lake NJ, US
Andrew Neil Stein - Pittsburgh PA, US
Neil Alldrin - Pittsburgh PA, US
Assignee:
Tandent Vision Science, Inc. - Dan Francisco CA
International Classification:
G06K 9/00, G06K 9/40
US Classification:
382162, 382254
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.


Andrew Stein Photo 2
Test Bed For Optimizing An Image Segregation

Test Bed For Optimizing An Image Segregation

US Patent:
8260050, Sep 4, 2012
Filed:
Dec 5, 2008
Appl. No.:
12/315669
Inventors:
Andrew Neil Stein - Pittsburgh PA, US
Iljung Samuel Kwak - Pittsburgh PA, US
Casey Arthur Smith - Grand Junction CO, US
Bruce Allen Maxwell - Benton ME, US
David Allen Tolliver - Pittsburgh PA, US
James Andrew Bagnell - Pittsburgh PA, US
Assignee:
Tandent Vision Science, Inc. - San Francisco CA
International Classification:
G06K 9/34, G06K 9/18, G06K 9/46, G06K 9/66, G06K 9/48, G06K 9/40
US Classification:
382173, 382185, 382190, 382191, 382195, 382199, 382254
Abstract:
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.


Andrew Stein Photo 3
Oriented, Spatio-Spectral Illumination Constraints For Use In An Image Progress

Oriented, Spatio-Spectral Illumination Constraints For Use In An Image Progress

US Patent:
2014007, Mar 13, 2014
Filed:
Sep 7, 2012
Appl. No.:
13/606644
Inventors:
Andrew Neil Stein - Pittsburgh PA, US
Jean-Francois Lalonde - Pittsburgh PA, US
Assignee:
Tandent Vision Science, Inc. - San Francisco CA
International Classification:
G06K 9/00
US Classification:
382162
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 represented in a spatial plane, organizing spatio-spectral information for the image in a matrix equation expressed by normal and tangential constraints determined as a function of a spatial orientation of selected image locations, relative to the spatial plane of the image and utilizing the matrix equation to solve for an intrinsic image corresponding to the image.


Andrew Stein Photo 4
Method And System For Factoring An Illumination Image

Method And System For Factoring An Illumination Image

US Patent:
8483480, Jul 9, 2013
Filed:
Dec 18, 2009
Appl. No.:
12/653846
Inventors:
Casey Arthur Smith - Grand Junction CO, US
Andrew Neil Stein - Pittsburgh PA, US
Neil Alldrin - Pittsburgh PA, US
Assignee:
Tandent Vision Science, Inc. - San Francisco CA
International Classification:
G06K 9/34, G06K 9/18, G06K 9/66, G06K 9/46, G06K 9/48
US Classification:
382173, 382185, 382190, 382191, 382195, 382199
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.


Andrew Stein Photo 5
Pipeline For Generating An Intrinsic Image

Pipeline For Generating An Intrinsic Image

US Patent:
2011022, Sep 15, 2011
Filed:
Mar 10, 2010
Appl. No.:
12/661052
Inventors:
Andrew Neil Stein - Pittsburgh PA, US
Neil Alldrin - Pittsburgh PA, US
Kshitiz Garg - Pittsburgh PA, US
Assignee:
Tandent Vision Science, Inc. - San Francisco CA
International Classification:
G06K 9/00
US Classification:
382118, 382167
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 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.


Andrew Stein Photo 6
Method For Processing Multiple Images Of A Same Scene

Method For Processing Multiple Images Of A Same Scene

US Patent:
8606050, Dec 10, 2013
Filed:
Jun 16, 2011
Appl. No.:
13/162192
Inventors:
Casey Arthur Smith - Grand Junction CO, US
Andrew Neil Stein - Pittsburgh PA, US
Bruce Allen Maxwell - Benton ME, US
Richard Mark Friedhoff - San Francisco CA, US
Assignee:
Tandent Vision Science, Inc. - San Francisco CA
International Classification:
G06K 9/54
US Classification:
382305
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 a sequence of image files depicting images of a same scene, in a computer memory, determining correspondence information relevant to the same scene across the sequence of images, and generating individual intrinsic images for each one of the sequence of images, as a function of the correspondence information.


Andrew Stein Photo 7
Method And System For Generating Intrinsic Images Using A Smooth Illumination Constraint

Method And System For Generating Intrinsic Images Using A Smooth Illumination Constraint

US Patent:
2012011, May 10, 2012
Filed:
Nov 10, 2010
Appl. No.:
12/927245
Inventors:
Andrew Neil Stein - Pittsburgh PA, US
Casey Arthur Smith - Grand Junction CO, US
Assignee:
Tandent Vision Science, Inc. - San Francisco CA
International Classification:
G06K 9/40
US Classification:
382260
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, organizing information relevant to the image according to a smooth-illumination constraint enforcing a Laplacian filter response such that ∇ƒ(x, y)=0 and utilizing the smooth-illumination constraint to generate an intrinsic image from the image.


Andrew Stein Photo 8
Classifier For Use In Generating A Diffuse Image

Classifier For Use In Generating A Diffuse Image

US Patent:
2013007, Mar 21, 2013
Filed:
Sep 21, 2011
Appl. No.:
13/200204
Inventors:
Andrew Neil Stein - Pittsburgh PA, US
Kshitiz Garg - Pittsburgh PA, US
Assignee:
Tandent Vision Science, Inc. - San Francisco CA
International Classification:
G06K 9/48
US Classification:
382199
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, providing a multi-class classifier trained to identify edges in an image relative to computer actions to be taken in respect to the respective edges, determined as a function of illumination effects in the image and utilizing the multi-class classifier to classify edges in the image, for identification of computer actions to be taken in respect to the edges in the image.


Andrew Stein Photo 9
Constraint Generation For Use In Image Segregation

Constraint Generation For Use In Image Segregation

US Patent:
8139850, Mar 20, 2012
Filed:
Dec 5, 2008
Appl. No.:
12/315643
Inventors:
Bruce Allen Maxwell - Benton ME, US
Casey Arthur Smith - Grand Junction CO, US
David Allen Tolliver - Pittsburgh PA, US
James Andrew Bagnell - Pittsburgh PA, US
Andrew Neil Stein - Pittsburgh PA, US
Iljung Samuel Kwak - Pittsburgh PA, US
Kristin Jean Dana - Spring Lake NJ, US
Steven Joseph Bushell - Cranston RI, US
Bartholomeus Christianus Leonardus Nabbe - Hillsboro OR, US
Milan Diebel - Hillsboro OR, US
Richard Mark Friedhoff - San Francisco CA, US
International Classification:
G06K 9/00, G06K 9/48, G06K 9/36
US Classification:
382164, 382199
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, 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.


Andrew Stein Photo 10
Image Segregation System Architecture

Image Segregation System Architecture

US Patent:
8139867, Mar 20, 2012
Filed:
Dec 5, 2008
Appl. No.:
12/315642
Inventors:
Bruce Allen Maxwell - Benton ME, US
Casey Arthur Smith - Grand Junction CO, US
David Allen Tolliver - Pittsburgh PA, US
James Andrew Bagnell - Pittsburgh PA, US
Andrew Neil Stein - Pittsburgh PA, US
Iljung Samuel Kwak - Pittsburgh PA, US
Kristin Jean Dana - Spring Lake NJ, US
Steven Joseph Bushell - Cranston RI, US
Bartholomeus Christianus Leonardus Nabbe - Hillsboro OR, US
Milan Diebel - Hillsboro OR, US
Richard Mark Friedhoff - San Francisco CA, US
Assignee:
Tandent Vision Science, Inc. - San Francisco CA
International Classification:
G06K 9/48, G06K 9/00
US Classification:
382199
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 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.