A fast point-to-tangent plane technique for multi-view registration

S. Y. Park, Murali Subbarao

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

38 Scopus citations

Abstract

We address a registration refinement problem and presents an accurate and fast point-to-(tangent) plane technique. Point-to-plane approach is known to be very accurate for registration refinement of partial 3D surfaces. However, the computation complexity for finding the intersection point on a destination surface from a source control point is hindering the algorithm from real-time applications. We introduce a novel point-to-plane registration technique by combining the high-speed advantage of point-to-projection technique. In order to find the intersection point fast and accurately, we forward-project the source point to the destination surface and reproject the projection point to the normal vector of the source point. We show that iterative projections of the projected destination point to the normal vector converge to the intersection point. By assuming the destination surface to be a monotonic function in a new 2D coordinate system, we show contraction mapping properties of our iterative projection technique. Experimental results for several objects are presented for both pair-wise and multiview registrations.

Original languageEnglish
Title of host publicationProceedings - 4th International Conference on 3-D Digital Imaging and Modeling, 3DIM 2003
PublisherIEEE Computer Society
Pages276-283
Number of pages8
ISBN (Electronic)0769519911
DOIs
StatePublished - 2003
Event4th International Conference on 3-D Digital Imaging and Modeling, 3DIM 2003 - Banff, Canada
Duration: 6 Oct 200310 Oct 2003

Publication series

NameProceedings of International Conference on 3-D Digital Imaging and Modeling, 3DIM
Volume2003-January
ISSN (Print)1550-6185

Conference

Conference4th International Conference on 3-D Digital Imaging and Modeling, 3DIM 2003
Country/TerritoryCanada
CityBanff
Period6/10/0310/10/03

Keywords

  • Acceleration
  • Digital images
  • Error correction
  • Iterative algorithms
  • Iterative closest point algorithm
  • Photometry

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