Tracking line segments

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

Volumn 427 LNCS, Issue , 1990, Pages 259-268

  Deriche, Rachid ^a   Faugeras, Olivier ^a  

^a INRIA   (France)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; COMPUTER SCIENCE; COMPUTERS;

KALMAN-FILTERING; LINE SEGMENT; MAHALANOBIS DISTANCES; MATCHING PROCESS; SIMILARITY FUNCTIONS; SYNTHETIC DATA; TIME-VARYING IMAGE; TRACKING APPROACHES;

COMPUTER VISION;

EID: 0347730271     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/BFb0014872     Document Type: Conference Paper

References (3)

1. R. Deriche. Using canny’s criteria to derive a recursively implemented optimal edge detector. International Journal of Computer Vision, 1(2):167–187, May 1987.
2. O.D. Faugeras. R. Deriche. N. Navab From Optical Flow of Lines to 3D Motion and structure. Proceedings IEEE Int. Work. on Intell. Syst. pp 646–649, Sept 1989. Tsukuba, Japan.
3. A. Gelb and al Applied Optimal Estimation The Analytic Sciences Corporation ed. Arthur Gelb. M.I.T Press