By Frederic Dufaux, Béatrice Pesquet-Popescu, Marco Cagnazzo
With the expectancy of tremendously stronger consumer adventure, 3D video is extensively perceived because the subsequent significant development in video expertise. for you to fulfil the expectancy of superior person event, 3D video demands new applied sciences addressing effective content material construction, representation/coding, transmission and show. rising applied sciences for 3D Video will care for all features considering 3D video structures and prone, together with content material acquisition and production, information illustration and coding, transmission, view synthesis, rendering, reveal applied sciences, human conception of intensity and caliber review.
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Extra resources for Emerging Technologies for 3D Video: Creation, Coding, Transmission and Rendering
6 (a) Sensor 4. 10). 5a. (b) Sensor 16. 10), the measurement functions for a single sensor fwk;n ðxÞgNn¼1 partition the plane into elliptical annuli. 5. 6b. 2 Image Recovery using Linear Backprojection To express an estimate f^ of the reflectance f , it is convenient to fix an orthonormal basis for a subspace of L2 ð½0; L2 Þ and estimate the expansion coefficients in that basis. For an M Â M pixel representation, let 8 > < M=L; for ði À 1ÞL=M x1 iL=M; ðj À 1ÞL=M x2 jL=M ci;j ðxÞ ¼ > : 0; otherwise ð2:11Þ so that f^ ¼ M X M X ci;j ci;j i¼1 j¼1 in the span of fci;j g is constant on D Â D patches, where D ¼ L=M.
We have experimentally achieved such partial spatial integration in two complementary ways: in Kirmani et al. (2011a) we illuminated subsets of the scene by using a spatial light modulator (SLM), still collecting light at a single omnidirectional sensor; in ColaSc o et al. (2012) we collected light from subsets of the scene by focusing onto a digital micromirror device (DMD), still using omnidirectional illumination. Similar mathematical modeling applies in both cases. 9a illustrates spatially patterned measurement by highlighting a subset of a pixelated version of the field of view (FOV).
Scattering problems (Mure-Dubois and Hugli, 2007) within the lens and sensor architecture are a major problem with depth sensors owing to their low signal-to-noise ratio. 3 Structured Light Depth Camera Kinect, a famous consumer depth camera in the market, is a structured IR light-type depth sensor which is well-known 3D geometry acquisition technology. It is composed of an IR emitter, IR sensor, and color sensor, providing an IR amplitude image, depth map, and color image. Basically, this technology utilizes conventional color sensor technology with relatively higher resolution.