NDLI: Interactive partial 3D shape matching with geometric distance optimization

Content Provider	Springer Nature Link
Author	Martinek, Michael Grosso, Roberto Greiner, Günther
Copyright Year	2014
Abstract	In this paper, we propose an efficient method for partial 3D shape matching based on minimizing the geometric distance between the source and the target geometry. Unlike existing methods, our method does not use a feature-based distance in order to obtain a matching score. Instead, we use a fast, GPU-based method to approximate the true geometric distance between the source and the target by rendering the source object into a distance field which was built around the target. This function behaves smoothly in the space of transformations and allows for an efficient gradient-based local optimization. In order to overcome local minima, we use single point correspondences between surface points on the source and the target respectively employing simple, yet efficient local features based on the distribution of normal vectors around a reference point. The best correspondences define starting positions for a local optimization. The high efficiency of the distance computation allows for robust determination of the global minima in less than a second, which makes our method usable in interactive applications. Our method works for any kind of input data since it only requires point data with normal information at each point. We also demonstrate the capability of our algorithm to perform global alignment of similar 3D objects.
Starting Page	223
Ending Page	233
Page Count	11
File Format	PDF
ISSN	01782789
Journal	The Visual Computer
Volume Number	31
Issue Number	2
e-ISSN	14322315
Language	English
Publisher	Springer Berlin Heidelberg
Publisher Date	2014-11-04
Publisher Place	Berlin, Heidelberg
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Shape matching Partial matching Part-in-whole matching Object alignment Computer Graphics Computer Science Artificial Intelligence (incl. Robotics) Image Processing and Computer Vision
Content Type	Text
Resource Type	Article
Subject	Computer Graphics and Computer-Aided Design Computer Vision and Pattern Recognition Software

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