NDLI: Pictorial recognition using affine-invariant spectral signatures

Content Provider	IEEE Xplore Digital Library
Author	Ben-Arie, J. Zhiqian Wang
Copyright Year	1997
Description	Author affiliation: Dept. of Electr. Eng. & Comput. Sci., Illinois Univ., Chicago, IL, USA (Ben-Arie, J.)
Abstract	This paper describes an efficient approach to pose invariant object recognition employing pictorial recognition of image patches. A complete affine invariance is achieved by a representation which is based on a new sampling configuration in the frequency domain. Employing Singular Value Decomposition (SVD), the affine transform is decomposed into slant, tilt, swing, scale and 2D translation. From this decomposition, we derive an affine invariant representation that allows to recognize image patches that correspond to object surfaces which are roughly planar-invariant to their pose in space. The representation is in the form of Spectral Signatures that are derived from a set of Cartesian logarithmic-logarithmic (log-log) sampling configuration in the frequency domain. Unlike previous log-polar representations which are not invariant to slant (i.e. foreshortening only in one direction), our new configuration yields complete affine invariance. The proposed log-log configuration can be employed both globally or locally by a Gabor or Fourier transforms. Local representation enables to recognize separately several objects in the same image. The actual signature recognition is performed by multidimensional indexing in a pictorial dataset represented in the frequency domain. The recognition also provides 3D pose information.
Starting Page	34
Ending Page	39
File Size	756317
Page Count	6
File Format	PDF
ISBN	0818678224
ISSN	10636919
DOI	10.1109/CVPR.1997.609294
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1997-06-17
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image recognition Frequency domain analysis Image sampling Object recognition Singular value decomposition Rough surfaces Surface roughness Fourier transforms Multidimensional systems Indexing
Content Type	Text
Resource Type	Article
Subject	Computer Vision and Pattern Recognition Software

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