Tandent Vision Science, Inc.

Anki, Inc.

Digital Dream Labs, LLC

Andrew Neil Stein

Casey Arthur Smith

Bruce Allen Maxwell

Kshitiz Garg

David Tolliver

Richard Mark Friedhoff

James Andrew Bagnell

Kristin Jean Dana

Neil Alldrin

Bartholomeus Christianus Leonardus Nabbe

Iljung Samuel Kwak

Steven Joseph Bushell

Jean-Francois Lalonde

Timothy King Rodgers, Jr

Milan Diebel

Hanns W Tappeiner

Youngrock R Yoon

Lee Crippen

Patrick Buehler

Brad Neuman

Besma Roui Abidi

David Allen Tolliver

Lljung Samuel Kwak

Richard Mark Friedhof

A robot that uses sensor inputs for attention activation and corresponding methods, systems, and computer programs encoded on computer storage media. The robot can be configured to compute a plurality of attention signals from sensor inputs and provide the plurality of attention signals as input to the attention level classifier to generate an attention level. If a user is paying attention to the robot based on the generated attention level, the robot selects a behavior to execute based on the current attention level, wherein a behavior comprises one or more coordinated actions to be performed by the robot.

Robot attention detection

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.

Pipeline for generating an intrinsic image

Techniques are provided for decoding machine-readable optical codes that have an aesthetic component that is integrated into the codes themselves. In this manner, the machine-readable optical codes can be designed to be aesthetically pleasing and/or can convey information to human viewers, and can even be disguised so that they do not appear to be machine-readable optical codes at all. Such information can be (but need not be) distinct from the information encoded for reading by a machine, even when the information is integrated into the code itself. The techniques described herein can be applied to any type of machine-readable optical code.

Decoding machine-readable optical codes with aesthetic component

A soft, weighted constraint imposed upon image locations can be used to provide a more accurate segregation of an image into intrinsic material reflectance and illumination components. The constraint is arranged to constrain all color band variations between the image locations into one integral constraining relationship.

Constraint relationship for use in an image segregation

An automated, computerized method is provided for processing an image. 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.

Method for processing multiple images of a same scene

Techniques are provided for generating machine-readable optical codes that have an aesthetic component that is integrated into the codes themselves. In this manner, the machine-readable optical codes can be designed to be aesthetically pleasing and/or can convey information to human viewers, and can even be disguised so that they do not appear to be machine-readable optical codes at all. Such information can be (but need not be) distinct from the information encoded for reading by a machine, even when the information is integrated into the code itself. The techniques described herein can be applied to any type of machine-readable optical code.

Generating machine-readable optical codes with aesthetic component

A method and system comprising image processing techniques is provided that utilize spatio-spectral information relevant to an image, derived from multiple sets of selectively varied representations of the image to accurately and correctly identify illumination and material aspects of the image. In an exemplary embodiment of the present invention, a scale-spaced pyramid arrangement is provided to preserve the purity of color from scale to scale, to insure accuracy in the identification of illumination and material aspects of the image.

Color pure scale-spaced pyramid arrangement for use in an image segregation

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.

Classifier for use in generating a diffuse image

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.

Oriented, spatio-spectral illumination constraints for use in an image progress

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, calculating processing scale parameter information as a function of width dimension information for penumbrae depicted in the image; and generating intrinsic illumination and material reflectance images corresponding to the image using the processing scale parameter information.

Automatic processing scale estimation for use in an image process

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 defined by image locations, in a computer memory, generating a bi-illuminant chromaticity plane in a log color space for representing the image locations of the image in a log-chromaticity representation for the image, providing a set of estimates for the orientation of the bi-illuminant chromaticity plane and calculating an orientation for each one of the image locations as a function of the set of estimates for the orientation.

Log-chromaticity clustering pipeline for use in an image process

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 &#x2207;&#x192;(x, y)=0 and utilizing the smooth-illumination constraint to generate an intrinsic image from the image.

Method and system for generating intrinsic images using a smooth illumination constraint

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.

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Pittsburgh, PA, United States of America

Andrew Neil Stein