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OverviewPresents 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. Full Product DetailsAuthor: Yasutaka Furukawa , Carlos HernándezPublisher: now publishers Inc Imprint: now publishers Inc Dimensions: Width: 15.60cm , Height: 0.90cm , Length: 23.40cm Weight: 0.243kg ISBN: 9781601988362ISBN 10: 1601988362 Pages: 166 Publication Date: 25 June 2015 Audience: Professional and scholarly , Professional & Vocational Format: Paperback Publisher's Status: Active Availability: In Print  This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us. Table of Contents1: Introduction 2: Multi-view Photo-consistency 3: Algorithms From Photo-Consistency to 3D Reconstruction 4: Multi-view Stereo and Structure Priors 5: Software, Best Practices, and Successful Applications 6: Limitations and Future Directions Acknowledgements ReferencesReviewsAuthor InformationTab Content 6Author Website:Countries AvailableAll regions |
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