Method and system for matching an image using image patches

US8958629B2 · US · B2

Patent metadata
FieldValue
Publication numberUS-8958629-B2
Application numberUS-201414259002-A
CountryUS
Kind codeB2
Filing dateApr 22, 2014
Priority dateJan 14, 2009
Publication dateFeb 17, 2015
Grant dateFeb 17, 2015

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Abstract

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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.

First claim

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What is claimed is: 1. A system for matching a query image, comprising: at least one processor; and memory including instructions that, upon being executed by the at least one processor, cause the system to: obtain a request to match at least one portion of the query image to at least one respective portion of one or more of a plurality of database images; generate at least one Gaussian pyramid image for the query image; identify a plurality of features for the at least one…

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What does patent US8958629B2 cover?
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 selec…
Who is the assignee on this patent?
A9 Com Inc
What technology area does this patent fall under?
Primary CPC classification G06V10/443. Mapped technology areas include Physics.
When was this patent published?
Publication date Tue Feb 17 2015 00:00:00 GMT+0000 (Coordinated Universal Time) (B2). Legal status and post-grant events are not shown on this page.
What related patents are in patentsdb?
We list 8 related publications on this page (citations in our corpus or others sharing the same primary CPC).