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Object recognition device and object recognition method

An object recognition and descriptor technology, applied in the field of object device and domain descriptor, which can solve problems such as image misrecognition

Active Publication Date: 2017-04-05
NEC CORP
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

With such a recognition method, when the object shown in the input image and the object shown in the reference image are different from each other but the difference between the two objects is subtle, there is an error in the image due to the existence of a large number of corresponding feature points. identified as a question showing the same object

Method used

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  • Object recognition device and object recognition method
  • Object recognition device and object recognition method
  • Object recognition device and object recognition method

Examples

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no. 1 example

[0056] A first embodiment of the present invention will be described with reference to the drawings.

[0057] figure 1 is a block diagram showing the configuration of the object recognition device according to the first embodiment of the present invention. The object recognition device includes: a local descriptor extraction unit 11, a local descriptor matching unit 12, an input image segmentation region descriptor extraction unit 13, an input image difference region determination unit 14, an input image segmentation region descriptor conversion unit 15, and a descriptor Matching unit 16. For example, the object recognition device can be configured using an information processing device such as a personal computer or a mobile information terminal. Additionally, for example, the functions of the respective units constituting the object recognition device are realized by having the processor expand the program stored in the storage unit onto the memory and execute the program....

no. 2 example

[0101] A second embodiment of the present invention will be described with reference to the drawings. In the second embodiment, the difference region in the reference image is estimated and recognition is performed without registering the difference region in the reference image in the database in advance.

[0102] Figure 17 is a block diagram showing the configuration of an object recognition device according to a second embodiment of the present invention. Such as Figure 17 As shown in , the object recognition device according to the second embodiment includes: a local descriptor extraction unit 11, a local descriptor matching unit 17, an input image segmentation region descriptor extraction unit 13, an input image difference region determination unit 14, an input image segmentation An area descriptor conversion unit 15 , a descriptor matching unit 16 , a difference area estimation unit 18 , and a difference area descriptor extraction unit 19 .

[0103] As shown, the di...

no. 3 example

[0112] A third embodiment of the present invention will be described with reference to the drawings.

[0113] Figure 21 is a block diagram showing the configuration of an object recognition device according to a third embodiment of the present invention. Such as Figure 21 As shown in , the object recognition device according to the third embodiment includes: a local descriptor extraction unit 11, a local descriptor matching unit 17, an input image segmentation region descriptor extraction unit 13, an input image difference region determination unit 14, an input image segmentation An area descriptor conversion unit 15 , a descriptor matching unit 16 , a difference area estimation unit 20 , and a difference area descriptor extraction unit 19 .

[0114] As described above, the object recognition device according to the third embodiment differs from the second embodiment in that the difference region estimation unit 18 of the object recognition device according to the second e...

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Abstract

Images showing the same object as that shown in another image are more accurately identified. The difference region in the input image is determined by converting the difference region in the reference image based on the geometric transformation information calculated by the analysis using the local descriptor. Meanwhile, the input image is segmented and segmented region descriptors are extracted from each segmented region. A descriptor obtained by converting the segmented region descriptor in the difference region in the input image and a descriptor in the difference region in the reference image are matched with each other.

Description

Background technique [0001] The present invention relates to devices and methods and furthermore programs for accurately recognizing objects in images. [0002] In order to achieve the function of robustly recognizing the subject in the image with respect to changes in photographic size and angle, and with regard to occlusion, a description of detecting a large number of feature points (feature points) in an image and extracting a local area around each feature point is proposed A system of descriptors (local descriptors). As representative systems among them, Patent Document 1 and Non-Patent Document 1 disclose a local descriptor extraction device using a SIFT (Scale Invariant Feature Transform) descriptor. [0003] Traditionally, using a local descriptor extraction device, first uniquely extract brightness-related information from each pixel in the image, detect a large number of feature points (feature points) from the extracted brightness information, and output as The f...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T7/10G06V10/50
CPCG06V10/50G06V10/759G06V10/751G06F18/22G06T3/10
Inventor 间濑亮太
Owner NEC CORP