Paper Title:
A Robust Feature Points Matching Algorithm in 3D Optical Measuring System
  Abstract

In optical measuring system with a handheld digital camera, image points matching is very important for 3-dimensional(3D) reconstruction. The traditional matching algorithms are usually based on epipolar geometry or multi-base lines. Mistaken matching points can not be eliminated by epipolar geometry and many matching points will be lost by multi-base lines. In this paper, a robust algorithm is presented to eliminate mistaken matching feature points in the process of 3D reconstruction from multiple images. The algorithm include three steps: (1) pre-matching the feature points using constraints of epipolar geometry and image topological structure firstly; (2) eliminating the mistaken matching points by the principle of triangulation in multi-images; (3) refining camera external parameters by bundle adjustment. After the external parameters of every image refined, repeat step (1) to step (3) until all the feature points been matched. Comparative experiments with real image data have shown that mistaken matching feature points can be effectively eliminated, and nearly no matching points have been lost, which have a better performance than traditonal matching algorithms do.

  Info
Periodical
Advanced Materials Research (Volumes 383-390)
Chapter
Chapter 20: Metrology and Measurement
Edited by
Wu Fan
Pages
5193-5199
DOI
10.4028/www.scientific.net/AMR.383-390.5193
Citation
J. Y. Yuan, X. Y. Liu, Z. Q. Qiu, "A Robust Feature Points Matching Algorithm in 3D Optical Measuring System", Advanced Materials Research, Vols. 383-390, pp. 5193-5199, 2012
Online since
November 2011
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Price
$32.00
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