Facial Feature Extraction Algorithm Based on Machine Dynamic Vision

Bo Li; Xiao Qin Gu; Man Huai Lu

doi:10.4028/www.scientific.net/AMM.380-384.4052

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 380-384Facial Feature Extraction Algorithm Based on...

Facial Feature Extraction Algorithm Based on Machine Dynamic Vision

Abstract:

In video image sequences, assume that face forms larger interference in athletic process and use traditional algorithm to extract facial features which may lead to target pixel blending and feature missing problems. Three-dimensional face reconstruction has poor authenticity and characteristic distortion. In order to solve this problem, this paper proposes an anti-interference three-dimensional motion face feature extraction method based on multiple target constraint stereoscopic vision algorithm. Extract different facial images target feature points from video sequence, accurately calculate characteristics deformation in the process of face movement by adopting deformation constraint analysis method, resist the interferences of characteristics loss, and then make use of stereo vision technology to extract three-dimensional facial features. The experimental results show that this algorithm can effectively improve three-dimensional facial feature extraction in motion state, and achieve satisfactory results.

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Periodical:

Applied Mechanics and Materials (Volumes 380-384)

Pages:

4052-4056

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.380-384.4052

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Online since:

August 2013

Authors:

Bo Li, Xiao Qin Gu, Man Huai Lu

Keywords:

Feature Extraction, Three-Dimensional Face, Video Sequence

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