NDLI: From parametric warping to the cooperation of local features and global models

Content Provider	IEEE Xplore Digital Library
Author	Jelonek, T. Ferrie, F.P.
Copyright Year	1998
Description	Author affiliation: Centre for Intelligent Machines, McGill Univ., Montreal, Que., Canada (Jelonek, T.)
Abstract	This paper addresses the question of how to integrate local and global information-the goal being a stable mechanism to partition parametric data into meaningful classes without injecting a priori information about the data. To do this we introduce a novel framework to represent both local and global information and their interactions. Where both types of information are represented together in parameter space and together define a self-organisation or warping of the data. An unsupervised clustering analysis is then performed to extract from the parametric data classes that are stable and meaningful. As an example of this paradigm we consider the problem of shape decomposition. Here we describe how image discontinuities (i.e. curves, edges or local curvature) can be integrated with global parametric models that represent the image. The resulting class clusters are then equivalent to the inferred part decomposition. An example of how this process can be used is demonstrated by applying it to the specific problem of determining the parts of 3-D objects. Results on real laser rangefinder images of complex objects are presented.
Starting Page	448
Ending Page	454
File Size	1198704
Page Count	7
File Format	PDF
ISBN	0818684976
ISSN	10636919
DOI	10.1109/CVPR.1998.698644
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1998-06-25
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Shape Image segmentation Performance analysis Data compression Laboratories Data mining Parametric statistics Laser modes Pattern recognition Image coding
Content Type	Text
Resource Type	Article
Subject	Computer Vision and Pattern Recognition 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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