A fast spin images matching method for 3D object recognition

Ming-ming Wang; Ying-ming Hao; Feng Zhu

doi:10.1117/12.2035012

19 September 2013 A fast spin images matching method for 3D object recognition

Ming-ming Wang, Ying-ming Hao, Feng Zhu

Proceedings Volume 8905, International Symposium on Photoelectronic Detection and Imaging 2013: Laser Sensing and Imaging and Applications; 89052L (2013) https://doi.org/10.1117/12.2035012
Event: ISPDI 2013 - Fifth International Symposium on Photoelectronic Detection and Imaging, 2013, Beijing, China

Abstract

Spin image has been applied to 3D object recognition system successfully because of its advantages of rotation, translation and view invariant. However, this method is very time consuming, owning to its high-dimensional characteristics and its complicated matching procedure. To reduce the recognition time, in this paper we propose a coarse-to-fine matching strategy for spin images. There are two steps to follow. Firstly, a low dimensional feature is introduced for a given point. The feature contain two components, its first component is the perpendicular distance from the centroid of the given point’s neighbor region to the tangential plane of the given point, its second component is the maximum distance between the projection point of the centroid on the tangential plane and projection points of the neighbor region on the tangential plane. Secondly when comparing a point from a target with a point from a model, their low features are matched first, only if they satisfy the low feature constrains, can they be selected as a candidate point pair and their spin images are further matched by similarity measurement. When all the target points and all the model points finish above matching process, those candidate point pairs with high spin image similarity are selected as corresponding point pairs, and the target can be recognized as the model with the most amount of corresponding point pairs. Experiment based on Stanford 3D models is conducted, and the comparison of experiment results of our method with the standard spin image shows that the propose method is more efficient while still maintain the standard spin image’s advantages.

Citation Download Citation

Ming-ming Wang, Ying-ming Hao, and Feng Zhu "A fast spin images matching method for 3D object recognition", Proc. SPIE 8905, International Symposium on Photoelectronic Detection and Imaging 2013: Laser Sensing and Imaging and Applications, 89052L (19 September 2013); https://doi.org/10.1117/12.2035012

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KEYWORDS

3D modeling

3D image processing

Target recognition

3D acquisition

Object recognition

Detection and tracking algorithms

Image processing

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