NDLI: Representing and identifying jointed objects using a multiresolution technique

Content Provider	IEEE Xplore Digital Library
Author	Boles, W.W.
Copyright Year	1999
Description	Author affiliation: Sch. of Electr. & Electron. Syst. Eng., Queensland Univ. of Technol., Brisbane, Qld., Australia (Boles, W.W.)
Abstract	A multiresolution technique for representing and identifying objects in images is presented. Images are pre processed to extract object contours. Extracted contours are parameterised to form 1-D arrays. Object representations are then constructed as sets of contour waveforms viewed at different resolution levels. In the learning phase of the proposed algorithm, a database of object models is constructed which representations of objects obtained form images. The database includes jointed objects defined as those consisting of more than one part. During the object identification phase, object parts are allowed to be moved in the plane perpendicular to the joint's axil. To make the algorithm fast and efficient, only a subset of the representation points is used for object identification. The performance of the proposed algorithm is investigated under shifts, rotations, and scale changes.
Starting Page	463
Ending Page	466
File Size	407899
Page Count	4
File Format	PDF
ISBN	1864354518
DOI	10.1109/ISSPA.1999.818212
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1999-08-22
Publisher Place	Australia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Australia Shape Image databases Piecewise linear approximation Wavelet transforms Array signal processing Image resolution Speech Systems engineering and theory Multiresolution analysis
Content Type	Text
Resource Type	Article

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