Extraction and Classification of the Cultural Relic Model Based on Local Geometric Features
Jilai Zhou*, Mingquan Zhou*,**, Guohua Geng*, and Xiaofeng Wang*
*School of Information Science and Technology, Northwest University
Tai Bai Bei Lu No.229, Xi’an, Shaanxi 710069, China
**College of Information Science and Technology, Beijing Normal University
Hai Dian Qu Xin Jie Kou No.19, Beijing 100875, China
This paper proposes a novel approach to extracting local geometric features of the cultural relic. We first calculate Gaussian and mean curvature of the model. Then the surfaces of model are labeled for three fundamental types by the value of Gaussian and mean curvature. We use the region growing and expanding search method to obtain the local features of the model. We construct the templates based on the local features and prior knowledge. Finally, we achieve the retrieval of cultural relics by comparing the similarity of the template and the local feature of the model. We apply our method to identify and classify on Terracotta Warriors fragments. Experiments show that our method has the good retrieval performance.
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