Keith J Hanna, Age 58Brooklyn, NY

6430304, Aug 6, 2002

Apr 18, 2001

09/837407

Keith James Hanna - Princeton NJ
Rakesh Kumar - Monmouth Junction NJ
James Russell Bergen - Hopewell NJ
Harpreet Singh Sawhney - W. Windsor NJ
Jeffrey Lubin - New York NY

Sarnoff Corporation - Princeton NJ

G06K 936

382107, 382284

A method and apparatus for accurately computing parallax information as captured by imagery of a scene. The method computes the parallax information of each point in an image by computing the parallax within windows that are offset with respect to the point for which the parallax is being computed. Additionally, parallax computations are performed over multiple frames of imagery to ensure accuracy of the parallax computation and to facilitate correction of occluded imagery.

6490364, Dec 3, 2002

Jun 25, 2001

09/888693

Keith James Hanna - Princeton NJ
Rakesh Kumar - Monmouth Junction NJ
James Russell Bergen - Hopewell NJ
Harpreet Singh Sawhney - W. Windsor NJ
Jeffrey Lubin - New York NY

Sarnoff Corporation - Princeton NJ

G06K 936

382107, 382299

A method and apparatus for accurately computing parallax information as captured by imagery of a scene. The method computes the parallax information of each point in an image by computing the parallax within windows that are offset with respect to the point for which the parallax is being computed. Additionally, parallax computations are performed over multiple frames of imagery to ensure accuracy of the parallax computation and to facilitate correction of occluded imagery.

6522787, Feb 18, 2003

Aug 25, 1997

08/917402

Rakesh Kumar - Dayton NJ
Keith James Hanna - Princeton NJ
James R. Bergen - Hopewell NJ
Padmanabhan Anandan - Lawrenceville NJ
Kevin Williams - Yarley PA
Mike Tinker - Yardley PA

Sarnoff Corporation - Princeton NJ

G06K 940

382268, 382284

An image processing system for imaging a scene to mosaic, selecting a new viewpoint of the scene, and rendering a synthetic image from the mosaic of the scene from that new viewpoint. The synthesized image is then combined with a second image. The combination of the second image and the synthetic image generates a composite image containing a realistic combination of objects in the second image and the scene. Using this system, a production set or other scene need only be created once, then imaged by the system. Thereafter, through image processing, any view of the scene can be synthesized and combined with separately imaged performers or other objects to generate the composite image. As such, a production set or other scene can be repetitively reused without recreating the physical scene.

6571024, May 27, 2003

Jun 18, 1999

09/336319

Harpreet Singh Sawhney - Cranbury NJ
Rakesh Kumar - Monmouth Junction NJ
Yanlin Guo - Plainsboro NJ
Jane Asmuth - Princeton NJ
Keith James Hanna - Princeton NJ

Sarnoff Corporation - Princeton NJ

G06K 932

382294, 382284, 382154, 348 42

An apparatus and method for generating automated multi-view three dimensional pose and geometry estimation for the insertion of realistic and authentic views of synthetic objects into a real scene. A multi-view three dimensional estimation routine comprising the steps of feature tracking, pairwise camera pose estimation, computing camera pose for overlapping sequences and performing a global block adjustment to provide camera pose and scene geometric information for each frame of a scene. A match move routine may be used to insert a synthetic object into one frame of a video sequence based on the pose and geometric information of the frame, and calculate all other required object views of the synthetic object for the remaining frames using the pose and geometric information acquired as a result of the multi-view three dimensional estimation routine.

6597818, Jul 22, 2003

Mar 9, 2001

09/803700

Rakesh Kumar - Monmouth Junction NJ
Stephen Charles Hsu - Cranbury NJ
Keith Hanna - Princeton NJ
Supun Samarasekera - Princeton NJ
Richard Patrick Wildes - Princeton NJ
David James Hirvonen - Princeton NJ
Thomas Edward Klinedinst - Doylestown PA
William Brian Lehman - Mount Holly NJ
Bodgan Matei - Piscataway NJ
Wenyi Zhao - Plainsboro NJ

Sarnoff Corporation - Princeton NJ

G06K 932

382294, 382284, 382305, 707102

A system and method for accurately mapping between image coordinates and geo-coordinates, called geo-spatial registration. The system utilizes the imagery and terrain information contained in the geo-spatial database to precisely align geodetically calibrated reference imagery with an input image, e. g. , dynamically generated video images, and thus achieve a high accuracy identification of locations within the scene. When a sensor, such as a video camera, images a scene contained in the geo-spatial database, the system recalls a reference image pertaining to the imaged scene. This reference image is aligned very accurately with the sensors images using a parametric transformation. Thereafter, other information that is associated with the reference image can easily be overlaid upon or otherwise associated with the sensor imagery.

6681058, Jan 20, 2004

Mar 6, 2000

09/518872

Keith Hanna - Princeton NJ
Rakesh Kumar - Monmouth Junction NJ

Sarnoff Corporation - Princeton NJ

G06K 932

382294, 382170

A method and apparatus are disclosed that estimate the brightness or other feature values of unchanging or slowly changing regions of an image in a sequence of video images even when the regions is obscured by objects over large portions of the video sequence. The apparatus and method generate a histogram for each image region position over a plurality of image frames in the sequence. The mode, or most frequently occurring value, of the image region as indicated by the histogram is selected as representing the unchanging portion of the image. The mode values of all of the regions are then assembled to form a composite image of the unchanging or slowly changing feature values. According to one method, the histogram is generated using a recursive filter. In order to process images that exhibit some motion from frame to frame, the images in the video sequence may be aligned before generating the histogram. If the camera produces artifacts such as variations in the image caused by an automatic gain control (AGC) function, each image in the sequence of video images may be filtered either temporally or spatially before performing the histogramming operation to remove these artifacts.

6714665, Mar 30, 2004

Dec 3, 1996

08/759346

Keith James Hanna - Princeton NJ
Peter J. Burt - Princeton NJ
Shmuel Peleg - Princeton NJ
Douglas F. Dixon - Hopewell NJ
Deepam Mishra - Plainsboro NJ
Lambert E. Wixson - Rocky Hill NJ
Robert Mandlebaum - Philadelphia PA
Peter Coyle - Newtown PA
Joshua R. Herman - Robbinsville NJ

Sarnoff Corporation - Princeton NJ

G06K 900

382117, 382106, 382190, 382209

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.

6907073, Jun 14, 2005

Dec 6, 2000

09/731194

Harpreet Singh Sawhney - West Windsor NJ, US
Rakesh Kumar - Monmouth Junction NJ, US
Keith Hanna - Princeton NJ, US
Peter Burt - Princeton NJ, US
Norman Winarsky - Princeton NJ, US

Sarnoff Corporation - Princeton NJ

H04B001/66

37524014

A scaleable video encoder has one or more encoding modes in which at least some, and possibly all, of the motion information used during motion-based predictive encoding of a video stream is excluded from the resulting encoded video bitstream, where a corresponding video decoder is capable of performing its own motion computation to generate its own version of the motion information used to perform motion-based predictive decoding in order to decode the bitstream to generate a decoded video stream. All motion computation, whether at the encoder or the decoder, is preferably performed on decoded data. For example, frames may be encoded as either H, L, or B frames, where H frames are intra-coded at full resolution and L frames are intra-coded at low resolution. The motion information is generated by applying motion computation to decoded L and H frames and used to generate synthesized L frames. L-frame residual errors are generated by performing inter-frame differencing between the synthesized and original L frames and are encoded into the bitstream.