Computer Science ›› 2019, Vol. 46 ›› Issue (9): 250-253.doi: 10.11896/j.issn.1002-137X.2019.09.037

• Graphics,Image & Pattern Recognition • Previous Articles     Next Articles

Automatic Recognition Algorithm for Unconstrained Multi-pose Face Key Features under Unqualified Conditions

ZHAO Zhi-wei, NI Gui-qiang   

  1. (Institute of Command and Control Engineering,Army Engineering University,Nanjing 210007,China)
  • Received:2018-08-31 Online:2019-09-15 Published:2019-09-02

Abstract: Automatic recognition of multi-pose faces key features is of great significance to the processing of images in face database.In order to ensure that face key features are accurately recognized,it is necessary to extract key features of the face.When the traditional algorithm is used to automatically recognize multi-pose face key features,the obtained face images are of poor efficiency,low recognition rate and low efficiency.This paper presented an automatic multi-pose face feature recognition algorithm based on vector machine.The 3D coordinate of the face key feature image is represented by the focal length of the camera,and the 3D information of the multi-pose face key feature is calculated.Filter is used to deal with multi-pose face key features.Finally,according to the weight of the vector machine,this paper analyzed the target function and the noise of face key features,calculated the condition probability and the iteration number of the face automatic recognition,and realized the automatic recognition of the key features of unconstrained multi-pose face under the unqualified condition.Experiment results show that the proposed algorithm can be used to automatically identifiy the multi-pose face key features,and has high recognition rate and recognition efficiency.

Key words: Unqualified conditions, Unconstrained multi-pose, Face key feature, Automatic identification

CLC Number: 

  • TP391.41
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