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Robust feature matching for visual search

A visual search and feature query technology, applied in digital data information retrieval, special data processing applications, instruments, etc., can solve problems such as user frustration and failure to match user expectations

Inactive Publication Date: 2014-02-12
QUALCOMM INC
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the user cannot determine what constitutes a "best match" in the same way as the SIFT algorithm, which can lead to user frustration as a single SIFT best match result does not match the user's expectations

Method used

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  • Robust feature matching for visual search
  • Robust feature matching for visual search
  • Robust feature matching for visual search

Examples

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Embodiment Construction

[0020] figure 1 is a block diagram illustrating an image processing system 10 implementing the robust feature matching technique described in this disclosure. exist figure 1In the example shown, image processing system 10 includes client device 12 , visual search server 14 and network 16 . Client device 12 in this example represents a mobile device such as a laptop computer, a so-called notebook computer, a personal digital assistant (PDA), a cellular or mobile phone or handset (including a so-called "smartphone"), a global Positioning system (GPS) device, digital camera, digital media player, gaming device, or any other mobile device capable of communicating with visual search server 14 . Although described in this disclosure with respect to visual search server 14, the techniques described in this disclosure should not be limited to a visual search server. Rather, the techniques may be implemented by any device capable of implementing the feature matching aspect of a loca...

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Abstract

Techniques are disclosed for performing robust feature matching for visual search. An apparatus comprising an interface and a feature matching unit may implement these techniques. The interface receives a query feature descriptor. The feature matching unit then computes a distance between a query feature descriptor and reference feature descriptors and determines a first group of the computed distances and a second group of the computed distances in accordance with a clustering algorithm, where this second group of computed distances comprises two or more of the computed distances. The feature matching unit then determines whether the query feature descriptor matches one of the reference feature descriptors associated with a smallest one of the computed distances based on the determined first group and second group of the computed distances.

Description

technical field Background technique [0001] The present invention relates to image processing systems, and more particularly, to performing visual searches with image processing systems. [0002] Visual search in the context of a computing device or computer involves techniques that enable a computer or other device to perform a search for objects and / or features among other objects and / or features within an image or images. Recent interest in visual search has led to algorithms that enable computers to identify partially occluded objects and / or features under a wide variety of different image conditions, including variations in image scale, noise, illumination, and local geometric distortion. During this same time, mobile devices have emerged with feature cameras, but they can have limited user interfaces to enter text or otherwise interface with mobile devices. Developers of mobile devices and mobile device applications have attempted to utilize the mobile device's camera...

Claims

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Application Information

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IPC IPC(8): G06F17/30G06K9/62
CPCG06F17/30247G06K9/62G06K9/627G06F16/583G06F18/2413
Inventor 桑迪普·瓦达迪奥努尔·C·哈姆西奇尤里娅·列兹尼克约翰·H·洪重·U·李
Owner QUALCOMM INC