Multi-View Stereo - A Tutorial (Paperback)

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.

General

Imprint:	Now Publishers Inc
Country of origin:	United States
Series:	Foundations and Trends (R) in Computer Graphics and Vision
Release date:	June 2015
First published:	2015
Authors:	Yasutaka Furukawa • Carlos Hernandez
Dimensions:	234 x 156 x 9mm (L x W x T)
Format:	Paperback
Pages:	166
ISBN-13:	978-1-60198-836-2
Categories:	Books > Computing & IT > Applications of computing > Computer modelling & simulation Books > Computing & IT > Computer software packages > Computer graphics software > General
LSN:	1-60198-836-2
Barcode:	9781601988362

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