Advances in Image and Video Technology: 5th Pacific Rim by Deepak Ghimire, Joonwhoan Lee (auth.), Yo-Sung Ho (eds.)

By Deepak Ghimire, Joonwhoan Lee (auth.), Yo-Sung Ho (eds.)

The two-volume lawsuits LNCS 7087 + LNCS 7088 represent the complaints of the fifth Pacific Rim Symposium on photograph and Video expertise, PSIVT 2011, held in Gwangju, Korea, in November 2011. the whole of seventy one revised papers was once rigorously reviewed and chosen from 168 submissions. the themes coated are: image/video coding and transmission; image/video processing and research; imaging and images and visualization; image/video retrieval and scene knowing; biomedical snapshot processing and research; biometrics and picture forensics; and computing device imaginative and prescient applications.

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Extra info for Advances in Image and Video Technology: 5th Pacific Rim Symposium, PSIVT 2011, Gwangju, South Korea, November 20-23, 2011, Proceedings, Part I

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Second, the image formation model is less reliable where depth estimation is less accurate. On the basis of these assumptions, we define the regularization term as SR w(p) I(t) (p) − I(t)↑ (p) (2) Esr = 2 (13) SR p∈I(t) where w(p) = max{ Sˆmin↑ (p) 4 , wmin }. (14) Note that the second assumption is reflected in the pixel-wise weighting factor w(p), which introduces adaptivity to the regularization. We observe that Sˆmin (p) takes large values around occlusion boundaries, for example, where the estimated depths are likely to be erroneous (see Fig.

In: Proc. ACM SIGGRAPH, pp. 369–374 (2000) 5. : Real-Time Consensus-Based Scene Reconstruction Using Commodity Graphics Hardware. In: Proceedings of Pacific Graphics, pp. 225–235 (2002) 6. : Accurate and Efficient Stereo Processing by Semi-Global Matching and Mutual Information. In: IEEE CVPR, pp. 807–814 (2005) 7. : Stereo Processing by Semiglobal Matching and Mutual Information. In: IEEE TPAMI, vol. 30(2), pp. 328–341 (2008) 8. : Simultaneous Super-Resolution and 3D Video Using Graph-Cuts. In: IEEE CVPR, pp.

The camera parameters are estimated beforehand. The distance from the input camera plane is denoted by z. The goal of our method is to synthesize an image viewed from a new viewpoint, referred to as the target viewpoint, which is denoted by t. We define two synthesized images, I(t) SR and I(t) . I(t) is produced by blend-based synthesis and has the same resolution as SR the input images; I(t) is produced by our new SR-based scheme. We assume that SR four images are given as the input and that the resolution of I(t) is twice that of I(t) both in the horizontal and vertical directions.

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