Obtaining base edge correspondence in stereo images via quantitative measures along C-diagonals

Jen-Hui Chuang*, Jui Man Chiu, Zen Chen

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

3 Scopus citations


We propose a novel approach to solving the object edge correspondence problem for stereo images. For an object placed on a calibration plate (C-plate), the proposed approach first obtains the correspondences of the object edges lying on the C-plate (the base edges) via quantitative measures of locations of the intersections of the extended line of the edges and the diagonals of the C-plate (C-diagonals) using cross ratios. The measures are viewpoint invariant for an object base edge, and are expressed in the number of image pixels. Special cases which need only coarse calculations, as well as those which require extra measures for additional point features, are also considered. The proposed approach requires 2-D image data only, and is robust in the presence of errors in the feature detection. Experimental results are presented for polyhedral and curved objects to demonstrate the effectiveness of the proposed approach.

Original languageEnglish
Pages (from-to)87-95
Number of pages9
JournalPattern Recognition Letters
Issue number1
StatePublished - 1 Jan 1997


  • Calibration plate
  • Cross ratio
  • Feature correspondence
  • Quantitative measure
  • Stereo vision
  • Viewpoint invariant

Fingerprint Dive into the research topics of 'Obtaining base edge correspondence in stereo images via quantitative measures along C-diagonals'. Together they form a unique fingerprint.

Cite this