Ambarella International LP

Ambarella, Inc.

Guy Rapaport

Leslie D Kohn

Elliot N Linzer

Yu Wang

An apparatus include a first circuit and a second circuit. The first circuit may be configured to (i) receive a plurality of sample values from a plurality of images in a video signal and (ii) estimate a plurality of positions of a plurality of maximum values in the images. Each estimation may operate on the sample values in a respective local region oriented parallel to an axis. The second circuit may be configured to track the positions of the maximum values in the images.

Local maxima sub-integer position estimation in video processing

A method of feature matching is provided. The method includes the steps of (A) determining a set of correspondences between a set of reference feature points for a first image and a set of target feature points for a second image using a processor to compute a descriptor matching function for each pair of reference and target feature points and (B) reducing the set of correspondences using the processor to perform an approximate cross-check to obtain a set of valid correspondences based upon the descriptor matching function computed for each pair of feature points.

Approximate cross-check for real-time feature matching

An apparatus includes an interface and a processor. The interface may be configured to receive an array of scores. The processor may be configured to (i) parse the array of scores into a data flow including one or more operators, (ii) schedule the operators in one or more data paths, (iii) divide the array of scores into blocks of two or more scores by processing the array of scores using the one or more data paths, (iv) compute per-block information using the one or more data paths, and (v) compute local maxima position information for the array of scores by performing block based non-maximum suppression based on the per-block information using the one or more data paths. The data paths are generally implemented with a plurality of hardware circuits.

Block based non-maximum suppression

A method of object or feature detection. The method includes the steps of (A) receiving an array of scores and (B) applying a block based non-maximum suppression technique to the array of scores.

A method of feature matching is provided. The method includes the steps of (A) determining a set of correspondences between a set of reference feature points for a first image and a set of target feature points for a second image and (B) reducing the set of correspondences while the set of correspondences is being determined using an approximate cross-check to obtain a set of valid correspondences.

An apparatus include a processor and a coprocessor. The processor may be configured to track a plurality of positions of a plurality of maximum values in a plurality of images in a video signal. The coprocessor may have a circuit configured to (i) receive a plurality of sample values from the images and (ii) estimate the positions of the maximum values in the images. Each estimation generally includes a parabolic estimation operating on the sample values in a respective local region oriented parallel to an axis. The circuit may be implemented solely in hardware.

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Sunnyvale, CA, United States of America

Guy Rapaport