Sarnoff Corporation

David Sarnoff Research Center, Inc.

Shmuel Peleg

Peter Jeffrey Burt

Douglas Fremont Dixon

Keith James Hanna

Harpreet Singh Sawhney

Rakesh Kumar

James Russell Bergen

Vincent Paragano

Padmanabhan Anandan

Michael Henry Brill

Peter James Coyle

Lambert Ernest Wixson

Gary A Gendel

Rajesh Hingorani

Deepam Mishra

Joshua Randy Herman, Deceased

James R Bergen

Micahal Irani

Robert Mandlebaum

Joshua R Herman

A recognition system which obtains and analyzes images of at least one object in a scene comprising a wide field of view (WFOV) imager which is used to capture an image of the scene and to locate the object and a narrow field of view (NFOV) imager which is responsive to the location information provided by the WFOV imager and which is used to capture an image of the object, the image of the object having a higher resolution than the image captured by the WFOV imager is disclosed. In one embodiment, a system that obtains and analyzes images of the irises of eyes of a human or animal in an image with little or no active involvement by the human or animal is disclosed. A method for obtaining and analyzing images of at least one object in a scene comprising capturing a wide field of view image of the object to locate the object in the scene; and then using a narrow field of view imager responsive to the location information provided in the capturing step to obtain higher resolution image of the object is also disclosed.

Fully automated iris recognition system utilizing wide and narrow fields of view

A method of constructing an image mosaic comprising the steps of selecting source images, aligning the source images, selecting source segments, enhancing the images, and merging the images to form the image mosaic is disclosed. An apparatus for constructing an image mosaic comprising means for selecting source images, means for aligning the source images, means for selecting source image segments, means for enhancing the images, and means for merging the images to form the image mosaic is also disclosed. The process may be performed automatically by the system or may be guided interactively by a human operator. Applications include the construction of photographic quality prints form video and digital camera images.

Method and apparatus for mosaic image construction

A method for indexing video sequences relative to a reference model. A system implementing the method includes an (optional) image pre-processor that produces the reference model or is provided the reference model. The pre-processor is then provided input image data such as a video sequence containing a series of frames of a particular scene. The pre-processor performs a transformation to align the images within the video sequence with the reference model. The pre-processor then stores the transformation, the reference model and the image data within a mass storage device such as a hard disk drive. Subsequently, the system provides access to the information stored within the mass storage device through a user interface. The user may recall and position on a computer screen the reference model, select a particular point within the reference model, and request that the system produce all of the image data that contains that particular point within the reference model.

Method for indexing image information using a reference model

An iterative process, implemented by a feedback loop, responds to all the image data in the respective analysis regions of three consecutive frames of a motion picture, to provide, after a plurality of cycles of operation thereof, an accurate estimation of the motion of either one or both of two differently moving patterns defined by the image data of these respective analysis regions. The analysis region of each frame is preferably large, and may occupy the entire frame area of a frame. The type of differently moving patterns include (1) separation by a motion bounty, (2) overlapping transparent surface in motion, (3) 'picket fence' motion (4) masking of a small and/or low-contrast pattern by a dominant pattern, and (5) two-component aperture effects. Also, the operation of this iterative process inherently accurately estimates the motion of image data defining a single moving pattern.

Three-frame technique for analyzing two motions in successive image

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Princeton, NJ, United States of America

Shmuel Peleg