000			01757nam a2200217 a 4500
999			_c27776 _d27776
001			62404
020			_a9781601988362
082			_a006.693 FU MU
100			_aFurukawa, Yasutaka _939275
245	1	0	_aMulti-view stereo : _ba tutorial / _cYasutaka Furukawa; Carlos Hernandez
260			_aBoston : _bNow Publishers Inc., _cc2015.
300			_ax, 154 p. : _bill. ; _c24 cm.
490			_aFoundations and trends in computer craphics and vision ; _v9:1-2
520			_aMulti-View Stereo: A Tutorial presents a hands-on view of the field of multi-view stereo with a focus on practical algorithms. Multi-view stereo algorithms are able to construct highly detailed 3D models from images alone. They take a possibly very large set of images and construct a 3D plausible geometry that explains the images under some reasonable assumptions, the most important being scene rigidity. Multi-View Stereo: A Tutorial frames the multiview stereo problem as an image/geometry consistency optimization problem. It describes in detail its main two ingredients: robust implementations of photometric consistency measures, and efficient optimization algorithms. It then presents how these main ingredients are used by some of the most successful algorithms, applied into real applications, and deployed as products in the industry. Finally, it describes more advanced approaches exploiting domain-specific knowledge such as structural priors, and gives an overview of the remaining challenges and future research directions.
650		7	_aAlgorithms _92438
650		7	_aComputer graphics _9367
650		7	_aResearch _939276
700			_aHernandez, Carlos _939277
856			_uhttps://uowd.box.com/s/vputfhdosh2virihawmxbswm3z4qgk21 _zLocation Map
942			_cREGULAR _2ddc