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Range image registration via probability field

  • Stony Brook University

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

8 Scopus citations

Abstract

This paper presents a powerful variant of the ICP (Iterative Closest Point) algorithm for registering range images using a probability field. The probability field (p-field) represents the probability distribution of the surface position. By capitalizing on the properties of the range image, fast construction, compact representation, and efficient query of the p-field can be achieved. Different sensor models are supported by the p-field according to the properties of the range image. Range images can be precisely aligned by maximizing the probability of overlapping surfaces via the p-field.

Original languageEnglish
Title of host publicationProceedings - Computer Graphics International, CGI 2004
Pages546-552
Number of pages7
DOIs
StatePublished - 2004
EventProceedings - Computer Graphics International, CGI 2004 - Crete, Greece
Duration: Jun 16 2004Jun 19 2004

Publication series

NameProceedings of Computer Graphics International Conference, CGI
ISSN (Print)1530-1052

Conference

ConferenceProceedings - Computer Graphics International, CGI 2004
Country/TerritoryGreece
CityCrete
Period06/16/0406/19/04

Keywords

  • ICP
  • Image Alignment
  • Probability Field
  • Range Image
  • Registration

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