Automatically assigned DDC number: 00637

Manually assigned DDC number: 00637

Number of references: 4

Title: Part Segmentation from 2D Edge Images by the MDL Criterion

Author:

Author:

Subject: M. Pilu,R. B. Fisher Part Segmentation from 2D Edge Images by the MDL Criterion

Description: In the context of part segmentation from 2D edge images, this paper presents some interesting results with a novel method that addresses the problem of filtering a redundant set of part hypotheses that retains only those that are likely to correspond to actual parts. In the proposed method, supporting evidence for hypotheses are put in competition in a Minimum Description-Length (MDL) framework to select part hypotheses that most economically represent supporting edges in the "language" of generic parts. 1 Introduction The recovery of generic solid parts is a hard fundamental step towards the realization of general-purpose vision systems. A wealth of previous works has been proposed in the past to perform part segmentations that, with a couple of exceptions, always used silhouette-like data, such as symmetry axes or skeleton techniques, contour-based techniques, and many more. However, in a primitive-based framework suggested by Pentland [6] the procedure of producing the final interp...

Contributor: The Pennsylvania State University CiteSeer Archives

Publisher: unknown

Date: 1996-07-05

Pubyear: 1996

Format: ps

Identifier: http://citeseer.ist.psu.edu/144329.html

Source: ftp://ftp.dai.ed.ac.uk/pub/user/maurizp/BMVC96_MDL.ps.Z

Language: en

Relation:

Relation:

Relation:

Relation:

Rights: unrestricted

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