Samsung Electronics Co., Ltd.

Mitsubishi Electric Research Laboratories, Inc.

Abhishek Nagar

Gaurav Srivastava

Kaushik Morapakkam Josiam

Felix Carlos Fernandes

Kong Posh Bhat

Ankur Saxena

Farooq Khan

Anthony Vetro

Shantanu Rane

Andrew Joseph Dickerson

Timothy Thompson

Serhat Bucak

Xin Xin

To reduce communication costs and computational complexity, only a subset of ranked SIFT points within a query image for a visual search request is transmitted to the visual search server in each iteration of an incremental search. For each candidate match, a flag identifying the matching points is returned by the server for use in computing holistic (e.g., histogram) information for a bounding box within the query image including the matching points. Distance from that query image holistic information is used to reject images from a short list used for a subsequent iteration, if any. If all images are rejected or a match criteria is met during one iteration, the search may terminate early without consideration of remaining SIFT points.

Incremental visual query processing with holistic feature feedback

A method, system and computer-readable medium for providing feedback effects for an image. The method includes identifying one or more features in an area of the image. The method also includes mapping the one or more identified features to at least one of multiple modalities of feedback effects. Additionally, the method includes generating parameters for feedback effect output and storing the generated parameters in association with the image such that, in response to coordinates of an input of a user corresponding to the area of the image, a user interface associated with the image is configured to provide at least one of the multiple modalities of feedback effects to the user. The multiple modalities of feedback effects include one or more visual feedback effects, one or more haptic feedback effects and one or more audio feedback effects.

System and method for perceiving images with multimodal feedback

A method comprises computing a color factor value indicating an amount of color gradients in at least one color channel from the query image. The method comprises combining the color-keypoints with the gray-keypoints when the color factor value is greater than a threshold. A method for performing a visual search comprises extracting a plurality of local descriptors from a query image and then selecting a subset of them based on various criteria's such as visual meaning score. A method comprises aggregating each mean vector for each visual codeword from distances between each visual codeword and local descriptors. The method comprises aggregating variance vector for each visual codeword from the distance between each visual codeword, and local descriptors. The method comprises transmitting aggregated mean vector information and aggregated variance vector information to a search server for efficient image retrieval.

Apparatus and method for performing visual search

To improve feature selection accuracy during a visual search, interest points within a query image are two-way matched to features in an affine transformed image or otherwise transformed version of the query image. A user device implements a method for selecting local descriptors in the visual search. The method includes: detecting a first set of interest points for the original image; computing an affine transform matrix; computing a new image as a transformation of the original image using the affine transform matrix; detecting a second set of interest points from the and new image; performing a two-way matching between the first set of interest points and the second set of interest points; sorting matching pairs according to a specified self-matching score (SMS); assigning an infinite value to SMS of unmatched interest points from the original image; selecting the interest points based on SMS. Significant performance gains reduce false positive matches.

Robust keypoint feature selection for visual search with self matching score

An apparatus and method for detecting a finger are provided. The method includes capturing an image of a finger, generating a likelihood image of the finger from the captured image, localizing the finger within the likelihood image, determining a boundary of the finger, determining a location of one or more creases of the finger, and comparing the determined location of the one or more creases with crease locations of a finger image stored in a database.

Method and apparatus of a gesture based biometric system

Embodiments of the invention disclose a system and a method for transforming a biometric of a user to a binary feature vector suitable for user authentication, comprising steps of: partitioning the biometric into a set of regions, wherein each region is a contiguous region confining a part of the biometric; determining, for each region, biometric parameters; applying, to each region, binary logical conditions to produce at least one bit of the binary feature vector, wherein the applying is performed by a processer; and outputting the binary feature vector.

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Garland, TX, United States of America

Abhishek Nagar