@inproceedings{a791ab425bb2497b8c738158712621cb,
title = "Uniformly spaced 3D modeling of human face from two images using parallel particle swarm optimization",
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.",
keywords = "Computer Vision, Correspondence, Parallel Computation, Particle Swarm Optimization, Stereopsis",
author = "Chang, {Yau Zen} and Hou, {Jung Fu} and Tsao, {Yi Hsiang} and Lee, {Shih Tseng}",
year = "2011",
doi = "10.1117/12.892066",
language = "英语",
isbn = "9780819487452",
series = "Proceedings of SPIE - The International Society for Optical Engineering",
booktitle = "Applications of Digital Image Processing XXXIV",
note = "Applications of Digital Image Processing XXXIV ; Conference date: 22-08-2011 Through 24-08-2011",
}