Estimating Motion From Sparse Range Data Without Correspondence
- 24 August 2005
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- p. 207-215
- https://doi.org/10.1109/ccv.1988.589992
Abstract
First Page of the Article Author(s) Szeliski, R. Schlumberger Palo Alto ResearchKeywords
This publication has 11 references indexed in Scilit:
- A non-deterministic approach to 3-D modeling underwaterPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2005
- Incremental estimation of dense depth maps from image sequencesPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2003
- Sensor integration for robot navigation: Combining sonar and stereo range data in a grid-based representataionPublished by Institute of Electrical and Electronics Engineers (IEEE) ,1987
- The Representation, Recognition, and Positioning of 3-D Shapes from Range DataPublished by Springer Nature ,1987
- Regularization of Inverse Visual Problems Involving DiscontinuitiesPublished by Institute of Electrical and Electronics Engineers (IEEE) ,1986
- Computational vision and regularization theoryNature, 1985
- Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of ImagesPublished by Institute of Electrical and Electronics Engineers (IEEE) ,1984
- Model-Based Recognition and Localization from Sparse Range or Tactile DataThe International Journal of Robotics Research, 1984
- Uniqueness and Estimation of Three-Dimensional Motion Parameters of Rigid Objects with Curved SurfacesPublished by Institute of Electrical and Electronics Engineers (IEEE) ,1984
- An implementation of a computational theory of visual surface interpolationComputer Vision, Graphics, and Image Processing, 1983