Multi-resolution matching of uncalibrated images utilizing epipolar geometry and its uncertainty

IEEE International Conference on Image Processing

Volumn 2, Issue , 2001, Pages 213-216

  Brandt, S ^a   Heikkonen, J ^a  

^a AALTO UNIVERSITY   (Finland)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; COMPUTATIONAL GEOMETRY; IMAGE QUALITY; MATRIX ALGEBRA; PROBABILITY; UNCERTAIN SYSTEMS; WAVELET TRANSFORMS;

EPIPOLAR GEOMETRY; HARRIS CORNER DETECTOR; MULTIRESOLUTION MATCHING; UNCALIBRATED IMAGES; WAVELET BASED MATCHING;

PATTERN MATCHING;

EID: 0035164134     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (13)

1. A robust technique for matching two uncalibrated images through the recovery of the unknown epipolar geometry
2. Motion and structure from line correspondences: Closed-form solution, uniqueness, and optimization
3. Uncalibrated stereo matching using DWT
4. Dense disparity map estimation respecting image discontinuities: A pde and scale-space based approach
5. Evaluation of interest point detectors
6. A combined corner and edge detector
7. Characterizing the uncertainty of the fundamental matrix
8. The development and comparison of robust methods for estimating the fundamental matrix
9. A Bayesian weighting principle for the fundamental matrix estimation
10. Optimal method for the affine F-matrix and its uncertainty estimation in the sense of both noise and outliers