Target recognition method and target recognition device
A target recognition and target technology, applied in character and pattern recognition, instruments, computer parts, etc., can solve the problems of small number of feature points and low matching result confidence, and achieve the effect of high recognition accuracy
Active Publication Date: 2015-11-25
RICOH KK
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[0006] However, this technical solution has the following problems: since the feature points are detected by a detection algorithm, the number of feature points is often very small
Therefore, if only a few feature points are detected, the expression of the target image area (also known as the shooting target) will be limited, resulting in a correspondingly lower confidence in the matching result
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[0036] Various embodiments according to the present invention will be described in detail with reference to the accompanying drawings. Here, it is to be noted that, in the drawings, the same reference numerals are assigned to components having substantially the same or similar structures and functions, and repeated descriptions about them will be omitted.
[0037] In the following, the main idea of the present application will be briefly described.
[0038] In order to solve the technical problem in the prior art, that is, for the situation where only a small number of feature points can be detected, a new type of target recognition method is proposed in this application, which can directly increase the feature points according to the predetermined sampling method Number of. In this way, due to the increase in the number of feature points, the expression of the target image region becomes more abundant, thereby improving the confidence of the matching result to a certain ex...
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The invention discloses a target recognition method and a target recognition device. The target recognition method is used for recognizing a target image region with the category being unknown according to at least one sample image region with the category being known, and comprises the steps of carrying out sampling on the target image region through a predetermined sampling mode so as to acquire a plurality of target sampling points; calculating the stability weight of each target sampling point, wherein the stability weight is used for representing the stability degree of each target sampling point in a feature space; acquiring weighted feature description of the target image region according to the target sampling points with the stability weight; and carrying out recognition on the target image region according to the weighted feature description of the target image region and a weighted feature description model of the sample image region, wherein the weighted feature description model of the sample image region is acquired according to sample sampling points with the stability weight. Therefore, the target recognition method and the target recognition device have high recognition accuracy, and are more robust for various degradations of feature points caused by various factors in a real scene.
Description
technical field [0001] The present invention relates to the field of digital image processing, and more specifically, the present invention relates to a target recognition method and a target recognition device. Background technique [0002] In recent years, target recognition has gradually become an active research field of computer vision, because it provides the core processing power for the computer to automatically perceive the category of the target, maintain a tracking process, and automatically recover after the tracking is lost, so that Provide services for high-level applications, such as human activity (behavior) analysis, etc. [0003] Although there is currently active research on object recognition, there are still some well-known problems to be overcome. For example, since target recognition in real scenes has high requirements on local features, it is required that these features cannot be affected by factors such as interference and occlusion of nearby obje...
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IPC IPC(8): G06K9/62
Inventor 乔刚王鑫范圣印王千诸加丹
Owner RICOH KK