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View Synthesis Using Stereo Vision (Lecture Notes in Computer Science)
 
 
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View Synthesis Using Stereo Vision (Lecture Notes in Computer Science) [Paperback]

Daniel Scharstein (Author)

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Book Description

354066159X 978-3540661597 July 20, 1999 1
Image-based rendering, as an area of overlap between computer graphics and computer vision, uses computer vision techniques to aid in sythesizing new views of scenes. Image-based rendering methods are having a substantial impact on the field of computer graphics, and also play an important role in the related field of multimedia systems, for applications such as teleconferencing, remote instruction and surgery, virtual reality and entertainment. The book develops a novel way of formalizing the view synthesis problem under the full perspective model, yielding a clean, linear warping equation. It shows new techniques for dealing with visibility issues such as partial occlusion and "holes". Furthermore, the author thoroughly re-evaluates the requirements that view synthesis places on stereo algorithms and introduces two novel stereo algorithms specifically tailored to the application of view synthesis.

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Inside This Book (learn more)
First Sentence:
View synthesis is the problem of generating images of a scene as it would appear from certain viewpoints. Read the first page
Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
synthesizing new views, shape constraint region, view synthesis problem, disparity column, occluded points, disparity space, stereo algorithms, interpolated views, aggregating support, stereo matching process, computed disparities, weak calibration, rectification step, warping equation, sampling gaps, disparity maps, local stopping, occlusion boundaries, stereo methods, stereo data, disparity error, regular diffusion, panoramic mosaics, occluded regions, receding part
Key Phrases - Capitalized Phrases (CAPs): (learn more)
Gibbs Sampler, Markov Random Field
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