Toward practical cooperative stereo for robotic colonies

Proceedings - IEEE International Conference on Robotics and Automation

Volumn 4, Issue , 2002, Pages 3328-3335

  Nabbe, Bart ^a   Hebert, Martial ^a  

^a CARNEGIE MELLON UNIVERSITY   (United States)

Author keywords

Affine invariants; Robust epipolar estimation; Wide baseline stereo

Indexed keywords

COMPUTER VISION; MOTION PLANNING; ROBUSTNESS (CONTROL SYSTEMS); STEREO VISION;

AFFINE INVARIANTS; ROBOTIC COLONIES; WIDE BASELINE STEREO;

MOBILE ROBOTS;

EID: 0036056072     PISSN: 10504729     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (24)

1. Viewpoint invariant texture matching and wide baseline stereo
2. A free market architecture for distributed control of a multirobot system
3. Distributed robotic mapping of extreme environments
4. Triangulation
5. Multiway cut for stereo and motion with slanted surfaces
6. A robust technique for matching two uncalibrated images through the recovery of the unknown epipolar geometry
7. Local gray-value invariants for image retrieval
8. Shape-adapted smoothing in estimation of 3-d shape cues from affine deformations of local 2-d brightness structure
9. Reliable feature matching across widely separated views
10. Wide baseline stereo matching based on local affinely invariant regions
11. Wide baseline stereo matching
12. Normalized cuts and image segmentation
13. Automatic reconstruction of piecewise planar models from multiple views
14. Robust analysis of feature spaces: Color image segmentation
15. A direct method for stereo correspondence based on singular value decomposition
16. An algorithm for associating the features of two images
17. Feature-based correspondence: An eigenvector approach
18. Applying the hungarian method to stereo matching
19. Projective structure and motion from two views of a piecewise planar scene
20. Motion and structure from motion in a piecewise planar environment
21. Sensor modeling, probabilistic hypotheses generation, and robust localization
22. Contours and regions: Cue combination in image segmentation