Measuring the Self-Consistency of Stereo Algorithms
- 1 January 2000
- book chapter
- Published by Springer Nature
- p. 282-298
- https://doi.org/10.1007/3-540-45054-8_19
Abstract
No abstract availableKeywords
This publication has 11 references indexed in Scilit:
- Characterizing the Performance of Multiple-Image Point-Correspondence Algorithms Using Self-ConsistencyPublished by Springer Nature ,2000
- An Experimental Comparison of Stereo AlgorithmsPublished by Springer Nature ,2000
- Prediction error as a quality metric for motion and stereoPublished by Institute of Electrical and Electronics Engineers (IEEE) ,1999
- Performance assessment through bootstrapPublished by Institute of Electrical and Electronics Engineers (IEEE) ,1997
- Object-centered surface reconstruction: Combining multi-image stereo and shadingInternational Journal of Computer Vision, 1995
- Error propagation in machine visionMachine Vision and Applications, 1994
- Recovering 3D Shape and Motion from Image Streams Using Nonlinear Least SquaresJournal of Visual Communication and Image Representation, 1994
- A stereo matching algorithm with an adaptive window: theory and experimentPublished by Institute of Electrical and Electronics Engineers (IEEE) ,1994
- Stereo vision for planetary rovers: Stochastic modeling to near real-time implementationInternational Journal of Computer Vision, 1992
- A computational framework and an algorithm for the measurement of visual motionInternational Journal of Computer Vision, 1989