Download PDF by Laurent Lucas, Céline Loscos, Yannick Rémion: 3D Video. From Capture to Diffusion

By Laurent Lucas, Céline Loscos, Yannick Rémion

ISBN-10: 1118761863

ISBN-13: 9781118761861

While 3D imaginative and prescient has existed for a few years, using 3D cameras and video-based modeling via the movie has precipitated an explosion of curiosity for 3D acquisition expertise, 3D content material and 3D monitors. As such, 3D video has turn into one of many new expertise traits of this century.

The chapters during this e-book disguise a wide spectrum of parts hooked up to 3D video, that are awarded either theoretically and technologically, whereas making an allowance for either physiological and perceptual features. Stepping clear of conventional 3D imaginative and prescient, the authors, all presently desirous about those components, give you the useful components for realizing the underlying computer-based technology of those applied sciences. they give thought to purposes and views formerly unexplored because of technological limitations.

This e-book publications the reader throughout the creation technique of 3D video clips; from acquisition, via info remedy and illustration, to 3D diffusion. various kinds of digital camera structures are...

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Extra info for 3D Video. From Capture to Diffusion

Sample text

It has opened doors to new visual experiences which will completely alter our relationship with images. We only need to look at the increasing attention given to 3D in recent (since 2010) conferences, such as the ACM SIGGRAPH conference. 3D imaging has been a strong trend in recent years and, according to the Consumer Electronics Show, 3D television is now a reality for the audiovisual industry with 2010 being the real starting point of the industrial development of HD 3DTV. 3. Multiview systems The development of photography during the 19th Century also coincided with the development of new multiview shooting devices.

4. Decentered and normalized reverse pinhole: from above (according to the y-axis), the projective geometries of the real sensor and its normalized virtual representation The inversion involved in these models, whether centered or not, between the axes of the image and that of the setting is generally countered by producing an upward rather than downward inverted projective model, known as a “reverse pinhole”. The placement of the “virtual sensor” (a reverse upward avatar of the sensor’s ROI) can therefore be optimized so that distances in pixels and “metric” distances can be confused, at least horizontally.

4. 5. 6. 7. 8. 1. 2. 3. 4. 5. 1. 2. 3. 4. 5. 6. Bibliography PART 4. 1. 2. 3. 4. 5. 6. 7. 1. 2. 3. 4. 5. 1. 2. 3. 4. 5. 6. 7. 8. 1. 2. 3. 4. 5. 6. 7. Bibliography PART 5. 1. 2. 3. 4. 5. 6. 7. 8. 9. 10. 11. 1. 2. 3. 4. 5. 1. 2. 3. 4. 5. 6. 1. 2. 3. 4. 5. 6. 1. 2. 3. 4. 5. 6. 7. 8. Bibliography Conclusion List of Authors Index First published 2013 in Great Britain and the United States by ISTE Ltd and John Wiley & Sons, Inc. Apart from any fair dealing for the purposes of research or private study, or criticism or review, as permitted under the Copyright, Designs and Patents Act 1988, this publication may only be reproduced, stored or transmitted, in any form or by any means, with the prior permission in writing of the publishers, or in the case of reprographic reproduction in accordance with the terms and licenses issued by the CLA.

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3D Video. From Capture to Diffusion by Laurent Lucas, Céline Loscos, Yannick Rémion

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