A feature retrieval method, device and storage medium
A technology of sample features and feature vectors, applied in the computer field, can solve the problems of slow retrieval speed, low retrieval efficiency, and limitation of terminal memory bandwidth, and achieve the effect of improving feature retrieval speed, reducing retrieval processing delay, and improving feature retrieval efficiency.
Active Publication Date: 2021-02-02
TENCENT TECH (SHENZHEN) CO LTD +1
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[0004] However, due to the limitation of terminal hardware resources, for example, the size of terminal memory bandwidth is limited, therefore, in the process of feature retrieval, memory bandwidth often becomes a bottleneck, and the retrieval speed is relatively slow, resulting in low retrieval efficiency
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[0034] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative efforts fall within the protection scope of the present invention.
[0035] Embodiments of the present invention provide a feature retrieval method, device and storage medium.
[0036] An embodiment of the present invention provides an image recognition system, including the feature retrieval device provided in any one of the embodiments of the present invention, the feature retrieval device can be integrated in a terminal, and the terminal can include: a small computing terminal device (such as an image processing box etc.), mobile phone, tabl...
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The embodiment of the present invention discloses a feature retrieval method, device, and storage medium; the embodiment of the present invention can obtain the feature vector to be retrieved; divide multiple sample feature vectors to obtain multiple sample feature sets; The similarity between the sample feature vector and the feature vector in the feature set is obtained, and the maximum similarity index of the feature vector in each sample feature set is obtained; the maximum similarity index of the feature vector in each sample feature set is merged to obtain the corresponding feature vector The merged index; according to the similarity corresponding to the merged index, select the target index of the feature vector from the merged index; perform feature retrieval according to the target index, and obtain the feature retrieval result of the feature vector; this scheme can be used in the case of limited terminal memory , to increase the speed of feature retrieval, thereby improving the efficiency of feature retrieval.
Description
technical field [0001] The present invention relates to the field of computer technology, in particular to a feature retrieval method, device and storage medium. Background technique [0002] Face recognition is a biometric technology for identification based on human facial feature information. A series of related technologies that use cameras or cameras to collect images or video streams containing human faces, automatically detect and track human faces in the images, and then perform facial recognition on detected faces, usually also called portrait recognition and facial recognition. . [0003] At present, face recognition technology has been applied to various scenarios, for example, it can be applied to scenarios such as access control. Specifically, the terminal can collect the face image of the current user, and then recognize the face image to obtain the identity of the current user. When the identity of the user is a predetermined identity, the access control is ...
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IPC IPC(8): G06F16/53G06K9/00
CPCG06V40/168
Inventor 李彦融王星晨戴冠雄容清员
Owner TENCENT TECH (SHENZHEN) CO LTD