A robust algorithm for fusing noisy depth estimates using stochastic approximation

ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

Volumn 3, Issue , 2001, Pages 1653-1656

  Roy Chowdhury, Amit K ^a   Chellappa, Rama ^a  

^a UNIVERSITY OF MARYLAND   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; APPROXIMATION THEORY; ASYMPTOTIC STABILITY; CONVERGENCE OF NUMERICAL METHODS; FEATURE EXTRACTION; IMAGE QUALITY; MATHEMATICAL MODELS; MOTION ESTIMATION; RANDOM PROCESSES; RECURSIVE FUNCTIONS; STATISTICAL METHODS;

DATA FUSION; FISHER INFORMATION; ROBBINS-MONRO STOCHASTIC APPROXIMATION; STRUCTURE FROM MOTION;

IMAGE COMPRESSION;

EID: 0034854675     PISSN: 15206149     EISSN: None     Source Type: Journal    
DOI: 10.1109/ICASSP.2001.941254     Document Type: Article

References (11)

1. A critique of structure from motion algorithms
2. Extracting structure from optical flow using fast error search technique
3. Estimating the kinematics and structure of a rigid object from a sequence of monocular images
4. Kalman filtering algorithms for estimating depth from image sequences
5. Recovering 3d shape and motion from image streams using non-linear least squares
6. Dealing with noise in multiframe structure from motion
7. Optimal structure from motion: Local ambiguities and global estimates
8. Least median of square regression
9. Information theoretic image formation
10. Resampling-based calculation of the information matrix for general identification problems