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Opis

Multi-view stereo algorithms are able to construct highly detailed 3D models from images alone. The applications range from 3D maps to entertainment, computational photography or cultural heritage archival. Multi-view stereo takes a possibly very large set of images and constructs a 3D plausible geometry that explains the images under some reasonable assumptions, the most important being scene rigidity. This book frames the multi-view 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 also presents some of the most successful state of-the- art algorithms, real applications and deployed products in industry, more advanced approaches exploiting domain knowledge such as structural priors, and an overview of remaining challenges and future research directions.

Szczegóły książki

Kategoria Książki po angielsku Computing & information technology Graphical & digital media applications 3D graphics & modelling

• Pełny tytuł: Multi-View Stereo
• Autor: Yasutaka Furukawa, Carlos Hernandez
• Język: Angielski
• Oprawa: Miękka
• Liczba stron: 166
• EAN: 9781601988362
• ISBN: 1601988362
• ID: 04835036
• Wydawca: now publishers Inc
• Waga: 264 g
• Wymiary: 235 × 156 × 2 mm
• Data wydania: 25. June 2015

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