- author = "Cristopher T. M. Graae and Peter Nordin and Mats Nordahl",
- title = "Stereoscopic Vision for a Humanoid Robot Using Genetic Programming",
- booktitle = "Real-World Applications of Evolutionary Computing",
- year = "2000",
- editor = "Stefano Cagnoni and Riccardo Poli and George D. Smith and David Corne and Martin Oates and Emma Hart and Pier Luca Lanzi and Egbert Jan Willem and Yun Li and Ben Paechter and Terence C. Fogarty",
- volume = "1803",
- series = "LNCS",
- pages = "12--21",
- address = "Edinburgh",
- publisher_address = "Berlin",
- month = "17 " # apr,
- organisation = "EvoNet",
- publisher = "Springer-Verlag",
- keywords = "genetic algorithms, genetic programming",
- ISBN = "3-540-67353-9",
-
DOI = "
doi:10.1007/3-540-45561-2_2",
- abstract = "we introduce a new approach to adaptive stereoscopic Vision. We use genetic programming, where the input to the individuals is raw pixel data from stereo image-pairs acquired by two CCD cameras. The output from the individuals is the disparity map, which is transformed to a 3D map of the captured scene using triangulation. The used genetic engine evolves machine-coded individuals, and can thereby reach high Performance on weak computer architectures. The evolved individuals have an average disparity-error of 1.5 pixels, which is equivalent to an uncertainty of about 10percent of the true distance. This work is motivated by applications to the control of autonomous humanoid robots The Humanoid at Project at Chalmers.",
-
notes = "EvoWorkshops 2000: EvoIASP, EvoSCONDI, EvoTel,
EvoSTIM, EvoRob, and EvoFlight, Edinburgh, Scotland,
UK, April 17, 2000
Proceedings
http://evonet.lri.fr/evoweb/resources/books_journals/record.php?id=61",
