Learning depth from stereo

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

Volumn 3175, Issue , 2004, Pages 245-252

  Sinz, Fabian H ^a   Candela, Joaquin Quiñonero ^a   Bakir, Gökhan H ^a,b   Rasmussen, Carl Edward ^a,b   Franz, Matthias O ^a  

^a MAX PLANCK INSTITUTE FOR BIOLOGICAL CYBERNETICS   (Germany)

^b TECHNICAL UNIVERSITY OF DENMARK   (Denmark)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; CAMERAS; LEARNING SYSTEMS; PATTERN RECOGNITION;

CALIBRATION PROCEDURE; DEPTH FROM STEREO; DOMAIN KNOWLEDGE; GAUSSIAN PROCESS REGRESSION; INTRINSIC AND EXTRINSIC PARAMETERS; LEARNING APPROACH; MACHINE LEARNING APPROACHES; SPATIAL COORDINATES;

CALIBRATION;

EID: 35048850041     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-28649-3_30     Document Type: Article

References (7)

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7. Steffen Abraham, Wolfgang Förstner: Zur automatischen Modellwahl bei der Kalibrierung von CCD-Kameras. 19. DAGM-Symposium Mustererkennung 1997. Springer Verlag pp. 147-155