3D reconstruction of human face based on an improved seeds-growing algorithm

Authors:
Feipeng Da;Yihuan Sui
Affiliations:
Southeast University, Research Institute of Automation, 210096, Nanjing, China;Southeast University, Research Institute of Automation, 210096, Nanjing, China
Venue:
Machine Vision and Applications - Special Issue on Dynamic Textures in Video
Year:
2011

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Cited 1

Robust 3D human face reconstruction by consumer binocular-stereo cameras

Proceedings of the 11th ACM SIGGRAPH International Conference on Virtual-Reality Continuum and its Applications in Industry

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Abstract

An algorithm based on binocular stereo vision is proposed to generate 3D (three-dimensional) dense points cloud model of the human face. A two-step matching strategy from sparse to dense is developed. Firstly, an improved seeds-growing algorithm is utilized to acquire sparse matching of high confidence. Secondly, based on the control points method and piecewise dynamic programming, the dense matching is completed. Experimental results show that the proposed algorithm can produce smooth and dense 3D points cloud model of the human face.