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Daisy descriptor generation from precomputed scale-space

A scale-space, descriptor technique used to improve image recognition and retrieval performance, processing and/or compression

Inactive Publication Date: 2013-01-02
QUALCOMM INC
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

This restricts the extraction of scale-invariant Daisy descriptors (i.e. Daisy descriptors in scale space)

Method used

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  • Daisy descriptor generation from precomputed scale-space
  • Daisy descriptor generation from precomputed scale-space
  • Daisy descriptor generation from precomputed scale-space

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Embodiment Construction

[0034] Various embodiments are now described with reference to the drawings, wherein like reference numerals are used to refer to like elements throughout. In the following description, for purposes of explanation, numerous specific details are set forth in order to provide a thorough understanding of one or more embodiments. It may be evident, however, that such embodiments may be practiced without these specific details. In other instances, well-known structures and devices are shown in block diagram form in order to facilitate describing one or more embodiments.

[0035] review

[0036] A technique for improving the generation of Daisy descriptors is provided. A modified Daisy descriptor is provided that reduces the number of smoothed (convoluted) orientation maps from three to one, thereby reducing the amount of memory required to generate the Daisy descriptor. Specifically, instead of generating multiple smoothed orientation maps from each orientation map, only one smo...

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Abstract

A local feature descriptor for a point in an image is generated over multiple levels of an image scale space. The image is gradually smoothened to obtain a plurality of scale spaces. A point may be identified as the point of interest within a first scale space from the plurality of scale spaces. A plurality of image derivatives is obtained for each of the plurality of scale spaces. A plurality of orientation maps is obtained (from the plurality of image derivatives) for each scale space in the plurality of scale spaces. Each of the plurality of orientation maps is then smoothened (e.g., convolved) to obtain a corresponding plurality of smoothed orientation maps. Therefore, a local feature descriptor for the point may be generated by sparsely sampling a plurality of smoothed orientation maps corresponding to two or more scale spaces from the plurality of scale spaces.

Description

[0001] Claim of priority under 35 U.S.C. §119 [0002] This patent application asserts U.S. Provisional Application No. 61 / 326,087, filed April 20, 2010, entitled "Extracting Daisy Descriptor in Scale-Space," and the November 2010 Priority of U.S. Provisional Application No. 61 / 412,759, filed on the 11th, entitled "Fast Descriptor Extraction in Scale-Space," both assigned to the assignee of this case, and It is hereby expressly incorporated herein by reference. technical field [0003] One feature relates to computer vision, and more particularly, to methods and techniques for improving discrimination and retrieval performance, processing and / or compression of images. Background technique [0004] Various applications could benefit from having a machine or processor capable of recognizing objects in a visual representation (eg, an image or picture). The field of computer vision seeks to provide techniques and / or algorithms that permit recognition of objects or features in...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/46
CPCG06K9/4671G06V10/462G06T7/00G06V10/40
Inventor 奥努尔·哈姆西奇约翰·H·洪尤里·列兹尼克桑迪普·瓦达迪重·李
Owner QUALCOMM INC
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