Cristian Dima and Simon Lacroix
International Conference on Robotics and Automation, May, 2002, pp. 3347 - 3353.
|This paper describes the design and implementation of an algorithm for improving the performance of stereo vision in environments presenting repetitive patterns or regions with relatively weak texture. The proposed algorithm makes use of the common assumption that the disparities corresponding to continuous surfaces in the world vary smoothly; we are using this assumption to alleviate the correspondence problem for pixels that cannot be reliably matched by the stereo algorithm. Our approach can be described as a reliability based filtering of the disparity image followed by a recursive propagation step. It can be applied to the output of almost any "standard" stereo algorithm with minimal modifications, and is computationally efficient.|
|indoor stereo vision|
Number of pages: 7
Note: This publication is based on work performed at LAAS-CNRS in Toulouse, France (June-August 2001).
|Cristian Dima and Simon Lacroix, "Using Multiple Disparity Hypotheses for Improved Indoor Stereo," International Conference on Robotics and Automation, May, 2002, pp. 3347 - 3353.|
author = "Cristian Dima and Simon Lacroix",
title = "Using Multiple Disparity Hypotheses for Improved Indoor Stereo",
booktitle = "International Conference on Robotics and Automation",
pages = "3347 - 3353",
publisher = "IEEE",
month = "May",
year = "2002",
volume = "4",
Notes = "This publication is based on work performed at LAAS-CNRS in Toulouse, France (June-August 2001)."
|The Robotics Institute is part of the School of Computer Science, Carnegie Mellon University.|
Contact Us | Update Instructions