A Bayesian weighting principle for the fundamental matrix estimation

Pattern Recognition Letters

Volumn 21, Issue 12, 2000, Pages 1081-1092

  Brandt, Sami ^a   Heikkonen, Jukka ^a  

^a AALTO UNIVERSITY   (Finland)

Author keywords

Correspondence problem; Epipolar geometry; Fundamental matrix; Outlier rejection; Stereo vision

Indexed keywords

CAMERAS; COMPUTATIONAL GEOMETRY; IMAGE ANALYSIS; MATHEMATICAL MODELS; MATRIX ALGEBRA; PROBABILITY;

BAYESIAN WEIGHTING PRINCIPLE; CORRESPONDENCE PROBLEMS;

STEREO VISION;

BAYESIAN ANALYSIS; MATRIX; METHODOLOGY; STEREO IMAGE;

EID: 0034319274     PISSN: 01678655     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0167-8655(00)00071-4     Document Type: Article

References (14)

1. Navigation using affine structure from motion
2. Epipole and fundamental matrix estimation using virtual parallax
3. Characterizing the uncertainty of the fundamental matrix
4. Euclidean reconstruction from uncalibrated views
5. In defense of the eight-point algorithm
6. Motion and structure from feature correspondences: A review
7. A computer algorithm for reconstructing a scene from two projections
8. On determining the fundamental matrix: Analysis of different methods and experimental results
9. Numerical recipes in C: The art of scientific computing
10. Uniqueness and estimation of three-dimensional motion parameters of rigid objects with curved surface
11. Determining the epipolar geometry and its uncertainty: A review