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Characteristic data compression device, multi-directional human face detection system and detection method thereof

A technology for compressing devices and characteristic data, which is applied in the direction of instruments, character and pattern recognition, computer parts, etc., can solve the problems of consuming digital operation time and memory space, and achieve reduction in consumption, data volume, and operation the effect of time

Active Publication Date: 2013-04-03
ALTEK SEMICON
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  • Summary
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] In view of the above-mentioned problems, the object of the present invention is to provide a feature data compression device, a multi-directional face detection system using the feature data compression device and a detection method thereof, to solve the problem of being transposed to different faces for detection. The problem of consuming digital computing time and consuming a lot of memory space for the face of the position

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  • Characteristic data compression device, multi-directional human face detection system and detection method thereof
  • Characteristic data compression device, multi-directional human face detection system and detection method thereof
  • Characteristic data compression device, multi-directional human face detection system and detection method thereof

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Embodiment Construction

[0028] The following will refer to the relevant drawings to illustrate the embodiment of the feature data compression device, the multi-directional face detection system and the detection method using the feature data compression device of the present invention. For ease of understanding, the same in the following embodiments Components are described with the same symbol designation.

[0029] figure 1 It is a block diagram of the characteristic data compression device of the present invention. As shown in the figure, the feature data compression device 1 suitable for a multi-directional face detection system may include a conversion unit 11 , a mirroring unit 12 , a transposition unit 13 and a storage unit 14 . The conversion unit 11 can extract facial features through a human face image 200 , which can divide the human face image 200 into several blocks, and obtain several feature values ​​110 through operations of the several blocks. And according to the difference in text...

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Abstract

The invention discloses a characteristic data compression device, a multi-directional human face detection system and a detection method of the multi-directional human face detection system. The characteristic data compression device comprises a mirror reflection unit and a transposition unit. The mirror reflection unit is used for comparing a plurality of characteristic values to calculate to obtain mutually-symmetrical characteristic values, and getting rid of one of the two mutually-symmetrical characteristic values in the plurality of characteristic values to form first mirror reflection data. Or calculation is carried out to obtain a position of the characteristic value with the highest specific gravity value to form second mirror reflection data. The transposition unit is used for transposing at least one plate to an angle according to a transposition form to calculate to obtain transposition data.

Description

technical field [0001] The present invention relates to a face feature data compression device, in particular to a feature data compression device that utilizes the mirrorability and transposition of face feature data to perform data compression, and applies the feature data compression A multi-directional face detection system and a detection method of a device. Background technique [0002] The current face detection method is to input multiple images to be tested into a learning model. The learning model learns how to distinguish whether the image to be tested contains the preset template feature according to the preset template feature. Whether it is an active learning architecture such as: Neural Network (Neural Network), expert system, fuzzy system (Fuzzy) or a classification learning architecture such as: Support Vector Machine (Support Vector Machine, SVM), principal axis component analysis (Principal Components Analysis, PCA), Snow method or Boosting method all ne...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00
Inventor 杨岱璋周宏隆张文彦
Owner ALTEK SEMICON
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