By Laurent Lucas, Céline Loscos, Yannick Rémion
While 3D imaginative and prescient has existed for a few years, using 3D cameras and video-based modeling via the movie has brought about an explosion of curiosity for 3D acquisition know-how, 3D content material and 3D monitors. As such, 3D video has turn into one of many new know-how tendencies of this century.
The chapters during this booklet conceal a wide spectrum of parts attached to 3D video, that are provided either theoretically and technologically, whereas bearing in mind either physiological and perceptual features. Stepping clear of conventional 3D imaginative and prescient, the authors, all at present eager about those parts, give you the helpful parts for knowing the underlying computer-based technological know-how of those applied sciences. they give thought to functions and views formerly unexplored as a result of technological limitations.
This publication publications the reader in the course of the creation strategy of 3D movies; from acquisition, via information remedy and illustration, to 3D diffusion. various kinds of digicam structures are...
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6. 7. Bibliography PART 2. 1. 2. 3. 4. 5. 6. 1. 2. 3. 4. 5. 6. 7. 1. 2. 3. 4. 5. 6. 1. 2. 3. 4. 5. Bibliography PART 3. 1. 2. 3. 4. 5. 1. 2. 3. 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.
Capturing light: physical fundamentals Light enables humans to see their surrounding environments and capture it as images using cameras. The image obtained by a camera represents all the light rays reaching the camera’s sensors. To understand the basic concepts of this process, this chapter will examine the fundamentals of light transport. 2 explains the influence of light wavelength. These aspects will be introduced due to their strong influence on digital imaging, image processing and image synthesis.
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. 1/ph of O. This ensures a unitary horizontal pitch for the virtual sensor whose vertical pitch is therefore equal to the anamorphosis relation ρ = pv/ph of the real sensor. We refer to this as a “normalized reverse pinhole model”. 4. The downward part (bottom) in the figure shows the direct decentered model of the ROI of the real sensor, while the upward part (top) presents the reverse model associated with the virtual sensor.
3D Video. From Capture to Diffusion by Laurent Lucas, Céline Loscos, Yannick Rémion
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