System and method for searching single or multi-body combined picture based on face recognition
A face recognition and retrieval system technology, applied in character and pattern recognition, special data processing applications, instruments, etc., can solve the problems of personal classification, batch or personalized search management, difficult processing workload, etc., to simplify the operation process and improve The effect of management efficiency
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[0026] Example 1
[0027] Such as figure 1 As shown, according to an embodiment of the present invention, this embodiment discloses a single or multi-body combined picture retrieval system based on face recognition, including an RGB sensor module, a face skeleton recognition processing module, and a face facial expression recognition processing Module, graphic capture collection module, recognized graphic specimen library, graphic recognition API interface, graphic retrieval processing module, graphic retrieval result display module; in other words, the retrieval system of this embodiment consists of an RGB sensor module, a facial bone recognition algorithm engine, It is composed of facial expression recognition algorithm, graphic capture collection module, recognition graphic specimen library, graphic recognition API interface, graphic retrieval algorithm engine, and graphic retrieval result display module.
[0028] Specifically, the RGB sensor module is connected to the face bone r
Example Embodiment
[0030] Example 2
[0031] According to another embodiment of the present invention, this embodiment discloses a retrieval method of a single or multi-body combined picture retrieval system based on face recognition. Specifically, the retrieval method includes the following steps:
[0032] Based on the RGB camera sensor module, through sensor imaging and graphic pixel collection information processing, the single or multi-body combined face graphic pixel information data is stored locally or on the network for later face and expression recognition processing.
[0033] Combining the facial bone features in the single or multi-body face graphics, the single or multi-body combined face bone characteristics are completed through the face skeleton recognition algorithm engine, and the single or multi-body combined face bone tissue (including the position of the human five senses) Information, body hair, etc.) feature model, to find the difference in the characteristics of face bones in single
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