Using surface model to correct and fit disparity data in stereo vision
- 4 December 2002
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- Vol. i, 60-64
- https://doi.org/10.1109/icpr.1990.118065
Abstract
A method of stereo vision adapted to 3D reconstruction of urban scenes is presented. A generic geometric model for objects in the scene is assumed. Uniform intensity regions in the images are hypothesized to correspond to single surfaces in the scene. The hypothesis is either verified or refuted by testing whether matches in each region fit the model or not. Disparity errors are detected using a disparity gradient limit before interpolation. The method is tested on real images, and results are given.<>Keywords
This publication has 10 references indexed in Scilit:
- Surfaces from stereo: integrating feature matching, disparity estimation, and contour detectionIEEE Transactions on Pattern Analysis and Machine Intelligence, 1989
- Stereo error detection, correction, and evaluationIEEE Transactions on Pattern Analysis and Machine Intelligence, 1989
- A contour-based stereo matching algorithm using disparity continuityPattern Recognition, 1988
- Using disparity functionals for stereo correspondence and surface reconstructionComputer Vision, Graphics, and Image Processing, 1987
- Incremental reconstruction of 3D scenes from multiple, complex imagesArtificial Intelligence, 1986
- PMF: A Stereo Correspondence Algorithm Using a Disparity Gradient LimitPerception, 1985
- Computational Experiments with a Feature Based Stereo AlgorithmPublished by Institute of Electrical and Electronics Engineers (IEEE) ,1985
- A new image segmentation technique based on partition mode testPattern Recognition, 1983
- Computational StereoACM Computing Surveys, 1982
- Random sample consensusCommunications of the ACM, 1981