Multi-baseline stereo vision for three-dimensional object reconstruction

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

Abstract

Three-dimensional object reconstruction is an essential task in many computer applications. In essence, it consists of firstly estimating the disparity of all corresponding points of an observed scene from a pair of stereo images and then determining the depth map of the scene by triangulation from the estimated disparity. Conventionally, the baseline is fixed in general-purpose stereo cameras. This can limit the resolution and robustness of the three-dimensional reconstruction. In this work, a multi-baseline stereo vision approach for three-dimensional object reconstruction is presented. The mathematical principles of multi-baseline stereo vision are provided. Additionally, experimental results of three-dimensional object reconstruction are presented and discussed in terms of objective measures.

Original languageEnglish
Title of host publicationOptics and Photonics for Information Processing XVI
EditorsAbdul A. S. Awwal, Khan M. Iftekharuddin, Victor Hugo Diaz-Ramirez
PublisherSPIE
ISBN (Electronic)9781510654341
DOIs
StatePublished - 2022
EventOptics and Photonics for Information Processing XVI 2022 - San Diego, United States
Duration: 24 Aug 2022 → …

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume12225
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X

Conference

ConferenceOptics and Photonics for Information Processing XVI 2022
Country/TerritoryUnited States
CitySan Diego
Period24/08/22 → …

Keywords

  • 3D reconstruction
  • Stereo matching
  • disparity map
  • multi-baseline camera

Fingerprint

Dive into the research topics of 'Multi-baseline stereo vision for three-dimensional object reconstruction'. Together they form a unique fingerprint.

Cite this