NDLI: High-speed 3D object recognition using additive features in a linear subspace

Content Provider	IEEE Xplore Digital Library
Author	Kanezaki, A. Nakayama, H. Harada, T. Kuniyoshi, Y.
Copyright Year	2010
Description	Author affiliation: Graduate School of Information Science and Technology, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Japan (Kanezaki, A.; Nakayama, H.; Harada, T.; Kuniyoshi, Y.)
Abstract	In this paper we propose a method of high-speed 3D object recognition using linear subspace method and our 3D features. This method can be applied to partial models with any size in any posture. Although it is becoming easy to obtain textured 3D models by a 3D scanner, there are few methods for 3D object recognition which take into account both shape and textures of objects. Moreover, it is difficult to achieve high-speed processing of large 3D data. Our 3D features consider the co-occurrence of shape and colors of an object's surface. The additive property of these features makes it possible to calculate the similarity between a query part and the subspace of each object in a database without division, and therefore the time for recognition is quite short. In the experiments, we compare our method with conventional methods using Spin-Images and Textured Spin-Images. We show that our method is appropriate for 3D object recognition.
Starting Page	3128
Ending Page	3134
File Size	930712
Page Count	7
File Format	PDF
ISBN	9781424450381
ISSN	10504729
DOI	10.1109/ROBOT.2010.5509271
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-05-03
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Object recognition Shape Layout Image databases Spatial databases Additives Robots Space technology Vectors Robotics and automation
Content Type	Text
Resource Type	Article
Subject	Artificial Intelligence Control and Systems Engineering Electrical and Electronic Engineering Software

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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