Getting the most from your color camera in a color-coded world

Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science)

Volumn 3276, Issue , 2005, Pages 221-235

  Grillo, Erio ^a   Matteucci, Matteo ^b   Sorrenti, Domenico G ^a  

^a UNIVERSITY OF MILANO BICOCCA   (Italy)

^b POLITECNICO DI MILANO   (Italy)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; CAMERAS; COLOR CODES; TIME DOMAIN ANALYSIS;

CAMERA INTERNAL ALGORITHMS; CAMERA PARAMETERS; COLOR-CODED ENVIRONMENTS; INTERNAL ALGORITHMS;

ARTIFICIAL INTELLIGENCE;

EID: 26444523971     PISSN: 03029743     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1007/978-3-540-32256-6_18     Document Type: Conference Paper

References (4)

1. Technical Committee of the Midsize League for 2003: Rules for Robocup Midsize Competitions, year 2003. available at http://wwwradig.in.tum.de/MSL- 2003/ (2003)
2. 1394 Trade Association: IIDC 1394-based Digital Camera Specification Version 1.30. 1394 Trade Association, Regency Plaza Suite 350, 2350 Mission College Blvd., Santa Clara, California 95054, USA (2000) technical report id.: TA Document 1999023.
3. Poynton, C.A.: A technical introduction to digital video. Wiley (1996)
4. Goldberg, D.E.: Genetic Algorithms in Search, Optimization, and Machine Learning. Addison-Wesley Publishing Company, Inc., Reading, MA (1989)