Building 3-D Models from Unregistered Range Images

Abstract

In this paper, we describe a new approach for building a three- dimensional model from a set of range images. The approach is able to build models of free-form surfaces obtained from arbitrary viewing directions, with no initial estimate of the relative viewing directions. The approach is based on building discrete meshes representing the surfaces observed in each of the range images, to map each of the meshes to a spherical image, and to compute the transformations between the views by matching the spherical images. The meshes are built using an iterative fitting algorithm previously developed; the spherical images are built by mapping the nodes of the surface meshes to the nodes of a reference mesh on the unit sphere and by storing a measure of curvature at every node. We describe the algorithms used for building such models from range images and for matching them. We show results obtained using range images of complex objects.

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Document Details

Document Type
Technical Report
Publication Date
Nov 01, 1993
Accession Number
ADA274126

Entities

People

  • Katsushi Ikeuchi
  • Kazunori Higuchi
  • Martial Hebert

Organizations

  • Carnegie Mellon University

Tags

Communities of Interest

  • Air Platforms

DTIC Thesaurus Topics

  • Air Force
  • Algorithms
  • Artificial Intelligence
  • Computer Science
  • Computer Vision
  • Coordinate Systems
  • Curvature
  • Data Sets
  • Feature Extraction
  • Geometric Forms
  • Geometry
  • Image Registration
  • Intensity
  • Lines (Geometry)
  • Object Recognition
  • Three Dimensional
  • Two Dimensional

Fields of Study

  • Computer science

Readers

  • Computer Vision.