Parallel algorithm for depth perception from radial optical flow fields

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 1112 LNCS, Issue , 1996, Pages 721-725

  Vogelgesang, Jens ^a   Cozzi, Alex ^a   Wörgötter, Florentin ^a  

^a RUHR UNIVERSITY BOCHUM   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

DEPTH PERCEPTION; NEURAL NETWORKS; OPTICAL FLOWS; COMPLEX NETWORKS;

CHAIN-LIKE; INPUT IMAGE; MOTION TRAJECTORIES; MOVING ROBOTS; NEURONAL STRUCTURE; OPTICAL FLOW ALGORITHM; REAL APPLICATIONS; REMOVE NOISE; ACTUAL USE;

ALGORITHMS;

EID: 77949586675     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-61510-5_122     Document Type: Conference Paper

References (4)

1. Poggio T. & Ancona N., Optical Flow from 1D Correlation: Application to a simple Time-To-Crash Detector/it Massachusetts Institute of Technology (1993).
2. Koenderink J.J. Optic Flow Vision Res. 26, 161-180 (1986).
3. Parado F., Martinuzzi E. Hardware environment for a retinal CCD visual sensor, Department of Artificial Intelligence, University of Edinburgh, 5 Forest Hill, Edinburg EH1 2QL, Scotland (1995).
4. Fleet, D., Jepson, A. & Jenkin, M. Phase-based disparity measurement Comp. Vision, Graphic and Image Proc., 53, 2, 198-210 (1991).