3D Shape Retrieval from a 2D Image as Query

被引:0
|
作者
Aono, Masaki [1 ]
Iwabuchi, Hiroki [1 ]
机构
[1] Toyohashi Univ Technol, Aichi, Japan
关键词
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暂无
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
3D shape retrieval has gained popularity in recent years. Yet we still have difficulty in preparing a 3D shape by ourselves for query input. Therefore an easy way of doing 3D shape search is much awaited in terms of query input. In this paper, we propose a new method for defining a feature vector for 3D shape retrieval from a single 2D photo image. Our feature vector is defined as a combination of Zernike moments and HOG (Histogram of Oriented Gradients), where these features can be extracted from both a 2D image and a 3D shape model. Comparative experiments demonstrate that our approach exhibits effectiveness as an initial clue to searching for more relevant 3D shape models we have in mind.
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页数:10
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