NDLI: Scale and rotation invariant color features for weakly-supervised object Learning in 3D space

Content Provider	IEEE Xplore Digital Library
Author	Kanezaki, A. Harada, T. Kuniyoshi, Y.
Copyright Year	2011
Description	Author affiliation: Graduate School of Information Science and Technology, The University of Tokyo, 7-3-1 Hongo Bunkyo-ku, Japan (Kanezaki, A.; Harada, T.; Kuniyoshi, Y.)
Abstract	We propose a joint learning method for object classification and localization using 3D color texture features and geometry-based segmentation from weakly-labeled 3D color datasets. Recently, new consumer cameras such as Microsoft's Kinect produce not only color images but also depth images. These reduce the difficulty of object detection dramatically for the following reasons: (a) reasonable candidates for object segments can be given by detecting spatial discontinuity, and (b) 3D features that are robust to view-point variance can be extracted. The proposed method lists candidate segments by evaluating difference in angle between the surface normals of 3D points, extracts global 3D features from each segment, and learns object classifiers using Multiple Instance Learning with object labels attached to 3D color scenes. Experimental results show that the rotation invariance and scale invariance of features are crucial for solving this problem.
Starting Page	617
Ending Page	624
File Size	1462260
Page Count	8
File Format	PDF
ISBN	9781467300629
e-ISBN	9781467300636
DOI	10.1109/ICCVW.2011.6130300
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-11-06
Publisher Place	Spain
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Training Image segmentation Image color analysis Feature extraction Three dimensional displays Vectors Joints
Content Type	Text
Resource Type	Article

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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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