Iterative 3D surface modelling from a sparse set of matched feature points

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

We present an iterative algorithm to reconstruct a 3D object surface from a sparse set of matched feature points on the input stereo images of the object. The initial matches are sparse and do not have to be accurate. The reconstructed 3D surface is represented in terms of triangular polygons whose vertices are initially the 3D points corresponding to these matched feature points. In order to render photorealistic images of the surface, these feature points are iteratively updated. New feature points are added into the feature point set as well as the depth estimates of the feature points are refined. Experimental results showing the updated correspondences, reconstructed surfaces and virtual views rendered from new directions are presented.

Original languageEnglish (US)
Title of host publicationProceedings - 2002 IEEE International Conference on Multimedia and Expo, ICME 2002
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages893-896
Number of pages4
ISBN (Electronic)0780373049
DOIs
StatePublished - 2002
Event2002 IEEE International Conference on Multimedia and Expo, ICME 2002 - Lausanne, Switzerland
Duration: Aug 26 2002Aug 29 2002

Publication series

NameProceedings - 2002 IEEE International Conference on Multimedia and Expo, ICME 2002
Volume1

Other

Other2002 IEEE International Conference on Multimedia and Expo, ICME 2002
Country/TerritorySwitzerland
CityLausanne
Period8/26/028/29/02

ASJC Scopus subject areas

  • Archaeology
  • Electrical and Electronic Engineering

Fingerprint

Dive into the research topics of 'Iterative 3D surface modelling from a sparse set of matched feature points'. Together they form a unique fingerprint.

Cite this