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3D versus 2D/3D Shape Descriptors: A Comparative study

机译:3D与2D / 3D形状描述符的比较研究

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摘要

This paper proposes a comparative study of 3D and 2D/3D shape descriptors (SDs) for of 3D mesh model indexing and retrieval. Seven state of the art SDs are considered and compared, among which five are 3D (Optimized 3D Hough Descriptor-O3DHTD, Extended Gaussian Images - EGIs, cords length and spherical angles histograms, random triangles histogram, MPEG-7 3D shape spectrum descriptor - 3DSSD), and two 2D/3D, based on the MPEG-7 2D SDs (Contour Scale Space- CSS, and Angular Radial Transform - ART). A low complexity vector quantized (VQ) OH3DD is also proposed and considered for this comparison. Experimental results were carried out upon the categorized MPEG-7 3D test database. By computing Bull-Eye Score (BES) and First Tier (FT) criteria, it is objectively established that the O3DHTD (even in its VQ version) outperforms (BES =81% or 79%).all other SDs. The 2D/3D CSS-based descriptor exhibits a highly discriminant behavior (BES = 74%) outperforming the other both 3D and 2D/3D approaches. Apply to the industrial framework of the French national project SEMANTIC-3D, the O3DHTD demonstrated its relevance together with its scalability and robustness properties.
机译:本文提出了一种用于3D网格模型索引和检索的3D和2D / 3D形状描述符(SD)的比较研究。考虑并比较了七个最先进的SD,其中三个是3D(优化的3D Hough描述符-O3DHTD,扩展的高斯图像-EGI,绳索长度和球角直方图,随机三角形直方图,MPEG-7 3D形状频谱描述符-3DSSD )和两个2D / 3D(基于MPEG-7 2D SD)(等高线空间CSS和Angular Radial Transform-ART)。还提出了一种低复杂度的矢量量化(VQ)OH3DD并考虑用于此比较。实验结果在分类的MPEG-7 3D测试数据库上进行。通过计算牛眼得分(BES)和第一层(FT)标准,客观地确定了O3DHTD(即使在其VQ版本中)也胜过所有其他SD(BES = 81%或79%)。基于2D / 3D CSS的描述符表现出很高的区分性(BES = 74%),胜过其他3D和2D / 3D方法。 O3DHTD应用于法国国家项目SEMANTIC-3D的工业框架,证明了其相关性以及可扩展性和鲁棒性。

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