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Modeling from Reality / edi...
This book summarizes the results of the editors' modeling-from-reality (MFR) project, which took place over the last decade. The goal of this project was to develop techniques for modeling real objects and/or environments into geometric and photometric models through computer vision techniques. By developing such techniques, time- consuming modeling process, currently undertaken by human programmers, can be (semi- ) automatically performed, and, as a result, one can drastically shorten the developing time of such virtual reality systems, reduce their developing cost, and widen their application areas. The project was conducted while the authors were at the Computer Science Department of Carnegie Mellon University (CMU) and the Institute of Industrial Science at the University of Tokyo. Modeling from Reality is suitable for a secondary text in a graduate-level course, and as a reference for researchers and practitioners in industry
Monografía
monografia Rebiun25659012 https://catalogo.rebiun.org/rebiun/record/Rebiun25659012 m o d cr mnu---uuaaa 121227s2002 mau o 000 0 eng 935295065 9781461507970 electronic bk.) 1461507979 electronic bk.) 9781461352440 print) 1461352444 print) 9780792375159 0792375157 10.1007/978-1-4615-0797-0 doi AU@ 000051719874 NZ1 14985224 NZ1 15312553 AU@ eng pn AU@ OCLCO OCLCQ GW5XE OCLCQ COO OCLCQ EBLCP OCLCQ UAB OCLCF OCLCQ UYQV bicssc COM016000 bisacsh 006.6 23 Ikeuchi, Katsushi Modeling from Reality edited by Katsushi Ikeuchi, Yoichi Sato Boston, MA Springer US 2002 Boston, MA Boston, MA Springer US 1 online resource (232 pages) 1 online resource (232 pages) Text txt rdacontent computer c rdamedia online resource cr rdacarrier The Kluwer International Series in Engineering and Computer Science, Robotics: Vision, Manipulation and Sensors 0893-3405 640 This book summarizes the results of the editors' modeling-from-reality (MFR) project, which took place over the last decade. The goal of this project was to develop techniques for modeling real objects and/or environments into geometric and photometric models through computer vision techniques. By developing such techniques, time- consuming modeling process, currently undertaken by human programmers, can be (semi- ) automatically performed, and, as a result, one can drastically shorten the developing time of such virtual reality systems, reduce their developing cost, and widen their application areas. The project was conducted while the authors were at the Computer Science Department of Carnegie Mellon University (CMU) and the Institute of Industrial Science at the University of Tokyo. Modeling from Reality is suitable for a secondary text in a graduate-level course, and as a reference for researchers and practitioners in industry Computer science Artificial intelligence Computer vision Systems theory Artificial intelligence. Computer science. Computer vision. Electronic books Sato, Yoichi Print version 9780792375159 Kluwer International Series in Engineering and Computer Science, Robotics: Vision, Manipulation and Sensors 640