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Proceedings Paper

3 D face structure extraction using shape matching morphing model
Author(s): Feng Xue; Xiaoqing Ding
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Paper Abstract

In general, the point correspondence and automatic face structure extraction are challenging problems. This is due to the fact that automatic extraction and matching of a set of significant feature points on different image views on the face, which are needed to recover the individual's 3-D face modal, is a very hard machine task. In this paper, in order to bypass this problem, our method recovers both the pose and the 3-D face coordinates using shape matching morphing model and iterative minimization of a metric based on the structure matching. A radial basis function (RBF) in 3-D is used to morph a generic face into the specific face structure and shape context (SC) is used to descript point shape. Basing on RBF and SC, shape distance is used to measure the similarity of two shapes. Experiment results are shown for images of real faces and promising result are obtained.

Paper Details

Date Published: 27 January 2006
PDF: 6 pages
Proc. SPIE 6056, Three-Dimensional Image Capture and Applications VII, 60560N (27 January 2006); doi: 10.1117/12.643817
Show Author Affiliations
Feng Xue, Tsinghua Univ. (China)
Xiaoqing Ding, Tsinghua Univ. (China)

Published in SPIE Proceedings Vol. 6056:
Three-Dimensional Image Capture and Applications VII
Brian D. Corner; Peng Li; Matthew Tocheri, Editor(s)

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