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基于多尺度投影的相似颅骨检索

刘雄乐 刘晓宁 朱丽品 杨稳

自动化学报2018,Vol.44Issue(2):289-298,10.
自动化学报2018,Vol.44Issue(2):289-298,10.DOI:10.16383/j.aas.2018.c160757

基于多尺度投影的相似颅骨检索

Similar Skull Retrieval from Multiscale Projection

刘雄乐 1刘晓宁 1朱丽品 1杨稳1

作者信息

  • 1. 西北大学信息科学与技术学院 西安710127
  • 折叠

摘要

Abstract

In the template-based method of craniofacial reconstruction,the first step is to select the reference skull in the database which is the most similar to the skull being restored.3D model retrieval algorithms usually take a long time,and the differences between skulls are so tiny that the general models in 3D model database cannot differentiate them,so any general 3D retrieval algorithm is not suitable for 3D skull retrieving.To cope with these problems,an algorithm for skull contour feature extraction with integration of angle and distance information is proposed in this paper.On the basis of this,a new profile feature extraction algorithm reflecting the spatial information of skull is also proposed.In the process of retrieving the most similar skull,firstly,orthogonal projection and depth projection of 3D skull are obtained.The angle and distance features of profiles are obtained by orthogonal projection while the profile features of spatial information are obtained by depth projection.Then,multiple features are fused according to their weights to search for the most similar skull.Finally,the error of the retrieved skull is evaluated by ICP + TPS algorithm.Experimental results show that the algorithm can ensure retrieval efficiency.Meanwhile,it can be accurately applied to craniofacial reconstruction of earlier stage to find out the most similar skull.

关键词

颅骨相似度/颅面复原/二维轮廓/空域特征/多尺度投影

Key words

Skull similarity/craniofacial restoration/2D profiles/spatial feature/multiscale projection

引用本文复制引用

刘雄乐,刘晓宁,朱丽品,杨稳..基于多尺度投影的相似颅骨检索[J].自动化学报,2018,44(2):289-298,10.

基金项目

青年科学基金项目(61305032),陕西省科学技术研究发展计划项目-国际合作项目(2013KW04-04),陕西省自然科学基金(2014JQ8315)资助 Supported by Youth Science Foundation Project (61305032),Shaanxi Science and Technology Research and Development Project-International Cooperation Project (2013KW04-04),and Shaanxi Natural Science Foundation (2014JQ8315) (61305032)

自动化学报

OA北大核心CSCDCSTPCD

0254-4156

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