Face acquisition modeling training system and acquisition modeling training method thereof

Abstract

The invention provides a face acquisition modeling training system and an acquisition modeling training method thereof. The acquisition modeling training method comprises the following steps that 1 an acquisition device selects acquisition points in the horizontal acquisition direction and the acquisition accuracy; 2 the acquisition device perform light source adjustment; 3 the longitudinal pitch angle requirement of the acquisition device is confirmed, and pitch angles of the acquisition points in the horizontal direction are adjusted; 4 data acquisition and calibration are performed; 5 the acquisition processes of the steps 3 and 4 are repeated, acquired object data are calibrated, and information is sent into an angle training classifier to be subjected to model training if all of information acquisition of acquisition objects is finished. Model data with different angles of acquired objects under the same light source condition are subdivided by dynamically selecting positions of an acquisition video camera, the accuracy of acquired models is improved, accordingly the whole recognition capacity of the system is improved, and a model meeting the requirement of an actual using place can be trained again for recognition.

Description

technical field [0001] The invention belongs to the field of face acquisition angle training in security systems, and in particular relates to a face acquisition modeling training system and an acquisition modeling training method thereof. Background technique [0002] At present, security systems are mostly installed to collect objects during movement. Generally, the angles of the face photos selected from the face collection device for modeling are all within 30° of horizontal rotation and 30° of pitch angle. The established model is basically meaningless and causes large errors. How to improve the recognition ability of the system under the existing acquisition ability is a major direction at present. In addition, it is also meaningful to properly analyze the influence of the light source on the face modeling data. Contents of the invention [0003] Aiming at the deficiencies in the prior art, the object of the present invention is to provide a human face acquisition ...

AI Technical Summary

Problems solved by technology

[0002] At present, security systems are mostly installed to collect objects during movement. Generally, the angles of the face photos selected from the face collection device for modeling are within 30° of horizontal rotation and 30° of pitch angle. The established model is basically meaningless and causes large errors

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