@inproceedings{55b0436381964b45b5981db1b0d25177,
title = "Keypoint recognition for 3D head model using geometry image",
abstract = "This paper presents a novel and efficient 3D head model keypoint recognition framework based on the geometry image. Based on conformal mapping and diffusion scale space, our method can utilize the SIFT method to extract and describe the keypoint of 3D head model. We use this framework to identify the keypoint of the human head. The experiments shows the robust and efficiency of our method.",
keywords = "Anthropometry, Geometry image, Keypoint recognition, Mesh parameterization, SIFT",
author = "L. Feng and Quan Fu and Xiang Long and Wu, \{Zhuang Zhi\}",
note = "Publisher Copyright: {\textcopyright} (2014) Trans Tech Publications, Switzerland.; 6th International Conference on Mechanical and Electronics Engineering, ICMEE 2014 ; Conference date: 16-08-2014 Through 17-08-2014",
year = "2014",
doi = "10.4028/www.scientific.net/AMM.654.287",
language = "英语",
series = "Applied Mechanics and Materials",
publisher = "Trans Tech Publications Ltd",
pages = "287--290",
editor = "Zhiming Liu",
booktitle = "Mechanical and Electronics Engineering VI",
address = "瑞士",
}