NDLI: Multilinear Supervised Neighborhood Embedding of a Local Descriptor Tensor for Scene/Object Recognition

Content Provider	IEEE Xplore Digital Library
Author	Xian-Hua Han Yen-Wei Chen Xiang Ruan
Copyright Year	1992
Abstract	In this paper, we propose to represent an image as a local descriptor tensor and use a multilinear supervised neighborhood embedding (MSNE) for discriminant feature extraction, which is able to be used for subject or scene recognition. The contributions of this paper include: (1) a novel feature extraction approach denoted as the histogram of orientation weighted with a normalized gradient (NHOG) for local region representation, which is robust to large illumination variation in an image; (2) an image representation framework denoted as the local descriptor tensor, which can effectively combine a moderate amount of local features together for image representation and be more efficient than the popular existing bag-of-feature model; and (3) an MSNE analysis algorithm, which can directly deal with the local descriptor tensor for extracting discriminant and compact features and, at the same time, preserve neighborhood structure in tensor-feature space for subject/scene recognition. We demonstrate the performance advantages of our proposed approach over existing techniques on different types of benchmark database such as a scene data set (i.e., OT8), face data sets (i.e., YALE and PIE), and view-based object data sets (COIL-100 and ETH-80).
Sponsorship	IEEE Signal Processing Society
Page Count	13
File Size	2276876
Starting Page	1314
Ending Page	1326
File Format	PDF
ISSN	10577149
Volume Number	21
Issue Number	3
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-03-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Feature extraction Tensile stress Lighting Histograms Image representation Image recognition Databases tensor analysis Local descriptor tensor multilinear supervised embedding learning normalized gradient SIFT
Content Type	Text
Resource Type	Article
Subject	Computer Graphics and Computer-Aided Design Software

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