Uniformly spaced 3D modeling of human face from two images using parallel particle swarm optimization

Yau-Zen Chang; Jung-Fu Hou; Yi Hsiang Tsao; Shih-Tseng Lee

doi:10.1117/12.892066

24 September 2011 Uniformly spaced 3D modeling of human face from two images using parallel particle swarm optimization

Yau-Zen Chang; Jung-Fu Hou; Yi Hsiang Tsao; Shih-Tseng Lee

Author Affiliations +

Proceedings Volume 8135, Applications of Digital Image Processing XXXIV; 81351P (2011) https://doi.org/10.1117/12.892066
Event: SPIE Optical Engineering + Applications, 2011, San Diego, California, United States

Abstract

This paper proposes a scheme for finding the correspondence between uniformly spaced locations on the images of human face captured from different viewpoints at the same instant. The correspondence is dedicated for 3D reconstruction to be used in the registration procedure for neurosurgery where the exposure to projectors must be seriously restricted. The approach utilizes structured light to enhance patterns on the images and is initialized with the scale-invariant feature transform (SIFT). Successive locations are found according to spatial order using a parallel version of the particle swarm optimization algorithm. Furthermore, false locations are singled out for correction by searching for outliers from fitted curves. Case studies show that the scheme is able to correctly generate 456 evenly spaced 3D coordinate points in 23 seconds from a single shot of projected human face using a PC with 2.66 GHz Intel Q9400 CPU and 4GB RAM.

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Yau-Zen Chang, Yau-Zen Chang, Jung-Fu Hou, Jung-Fu Hou, Yi Hsiang Tsao, Yi Hsiang Tsao, Shih-Tseng Lee, Shih-Tseng Lee, } "Uniformly spaced 3D modeling of human face from two images using parallel particle swarm optimization", Proc. SPIE 8135, Applications of Digital Image Processing XXXIV, 81351P (24 September 2011); doi: 10.1117/12.892066; https://doi.org/10.1117/12.892066

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