Invention Grant
- Patent Title: Method and system for matching an image using normalized feature vectors
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Application No.: US15387314Application Date: 2016-12-21
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Publication No.: US09721182B2Publication Date: 2017-08-01
- Inventor: Mark A. Ruzon , Raghavan Manmatha , Donald Tanguay
- Applicant: A9.com, Inc.
- Applicant Address: US CA Palo Alto
- Assignee: A9.com, Inc.
- Current Assignee: A9.com, Inc.
- Current Assignee Address: US CA Palo Alto
- Agency: Hogan Lovells US LLP
- Main IPC: G06K9/46
- IPC: G06K9/46 ; G06K9/62

Abstract:
A method, system and computer program product for encoding an image is provided. The image that needs to be represented is represented in the form of a Gaussian pyramid which is a scale-space representation of the image and includes several pyramid images. The feature points in the pyramid images are identified and a specified number of feature points are selected. The orientations of the selected feature points are obtained by using a set of orientation calculating algorithms. A patch is extracted around the feature point in the pyramid images based on the orientations of the feature point and the sampling factor of the pyramid image. The boundary patches in the pyramid images are extracted by padding the pyramid images with extra pixels. The feature vectors of the extracted patches are defined. These feature vectors are normalized so that the components in the feature vectors are less than a threshold.
Public/Granted literature
- US20170103282A1 METHOD AND SYSTEM FOR MATCHING AN IMAGE USING NORMALIZED FEATURE VECTORS Public/Granted day:2017-04-13
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