Compaq Computer Corporation, Inc.

Other

Digital Equipment Corporation

Brian Lyndall Avery

Andrew Dean Christian

Keith Waters

Kuang-Ming Wu

A technique for classifying objects within an image is disclosed. In one embodiment, the technique is realized by identifying a portion of an image, and then filtering the portion of the image based upon an object characteristic and a reference within the image. The image can be a representation of a plurality of pixels, wherein at least some of the plurality of pixels are enabled to represent the identified portion of the image. The reference can be one of a reference plane or a terrain within the image.

Technique for classifying objects within an image

A technique for locating objects within an image is disclosed. In one embodiment, the technique is realized by obtaining an image and then identifying an object within the image based upon an orientation of the object within the image. The image can be a representation of a plurality of pixels, wherein the plurality of pixels are arranged in a plurality of columns and rows, and wherein at least some of the plurality of pixels are enabled to represent the object.

Technique for locating objects within an image

A technique for differencing an image is disclosed. In one embodiment, the technique is realized by measuring light values in a scene to generate a first image and a second image. The first image is separated into first luminance and chrominance components, and the second image is separated into second luminance and chrominance components. A difference is determined between the first and the second luminance components to generate a luminance mask. Similarly, a difference is determined between the first and the second chrominence components to generate a chrominance mask. The luminance mask and the chrominence mask are combined to determine a difference between the first and the second images.

Technique for differencing an image

A technique for tracking objects through a series of images is disclosed. In one embodiment, the technique is realized by obtaining at least first and second representations of a plurality of pixels, wherein at least one grouping of substantially adjacent pixels has been identified in each of the first and second representations. Each identified grouping of substantially adjacent pixels in the first representation is then matched with an identified grouping of substantially adjacent pixels in the second representation.

Technique for tracking objects through a series of images

A technique for controlling a presentation of a computer generated object having a plurality of movable components is disclosed. In one embodiment, the technique is realized by receiving a gesture element and an audio element at a processing device. The gesture element represents a gesture involving one or more of the plurality of movable components. The audio element represents an audio signal. The processing device receives the gesture element and the audio element in a sequential order. The processing device processes the gesture element and the audio element in the sequential order so that each of the plurality of movable components associated with the gesture element are moved to perform the gesture and the audio signal associated with the audio element is generated during a presentation of the computer generated object. The gesture can be performed and the audio signal can be generated simultaneously.

Technique for controlling a presentation of a computer generated object having a plurality of movable components

A technique for disambiguating proximate objects within an image is disclosed. In one embodiment, the technique is realized by obtaining an image which is a representation of a plurality of pixels, wherein at least one grouping of substantially adjacent pixels has been identified in the plurality of pixels. Discontinuities are identified in each of the identified groupings of substantially adjacent pixels. Each of the identified groupings of substantially adjacent pixels are divided according to the identified discontinuities. It is then determined if each of the divided identified groupings of substantially adjacent pixels corresponds to an object to be classified.

Technique for disambiguating proximate objects within an image

A technique for updating a background image is disclosed. In one embodiment, the technique is realized by obtaining at least two representations of an image. At least one portion of at least one of the at least two representations is identified. An updated representation of the image is then provided by averaging together the at least two representations excepting each identified portion.

Technique for updating a background image

A technique for controlling an interactive presentation is disclosed. In one embodiment, a processing device receives at least one of a plurality of commands, wherein each of the plurality of commands corresponds to a respective operation the performance of which is directly associated with controlling a particular aspect of the interactive presentation. The processing device processes each of the received commands such that each corresponding operation is performed to control a particular aspect of the interactive presentation.

Technique for controlling and processing a section of an interactive

A technique for processing images is disclosed. In one embodiment, the technique is realized by obtaining a representation of an image, and then locating an area of interest in the representation. The located area of interest is then classified according to a first characteristic of one or more objects of interest and a reference within the image. If the located area of interest has been classified as an area containing at least one object of interest, the at least one object of interest can be disambiguated from other objects in the located area of interest.

Technique for processing images

A technique for providing a computer generated face having coordinated eye and head movement is realized by providing a computer generated movable head and at least one computer generated movable eye. The movement of the computer generated movable head and the movement of the at least one computer generated movable eye are coordinated such that the movement of the computer generated movable head follows the movement of the at least one computer generated movable eye.

Technique for providing a computer generated face having coordinated eye

A technique for acknowledging multiple objects using a computer generated face is realized by determining the location of at least two objects relative to a display device. A computer generated face is produced on the display device, wherein the computer generated face has at least one eye. The at least one eye is alternately directed between the at least two objects.

Technique for acknowledging multiple objects using a computer generated

The present invention pertains to the layup of laminates that possesses

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Lexington, MA, United States of America

Brian Lyndall Avery