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

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

The two-volume court cases LNCS 7087 + LNCS 7088 represent the lawsuits of the fifth Pacific Rim Symposium on photo and Video expertise, PSIVT 2011, held in Gwangju, Korea, in November 2011. the full 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 photos and visualization; image/video retrieval and scene figuring out; biomedical picture processing and research; biometrics and snapshot forensics; and laptop 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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1–8 (2008) 9. : Superresolution Texture Maps for Multiview Reconstruction. In: IEEE ICCV, pp. 1677–1684 (2009) 10. : Super Resolution of Images of 3D Scenecs. , Zha, H. ) ACCV 2007, Part II. LNCS, vol. 4844, pp. 85–95. Springer, Heidelberg (2007) 11. : Super-Resolution Plane Sweeping for FreeViewpoint Image Synthesis. In: IEEE ICIP, pp. 2013–2016 (2011) 12. edu/stereo/ Heat Kernel Smoothing via Laplace-Beltrami Eigenfunctions and Its Application to Subcortical Structure Modeling Seung-Goo Kim1 , Moo K.

IEEE Signal Processing Magazine 24(6), 10–111 (2007) 2. : TransCAIP: A Live 3D TV System Using a Camera Array and an Integral Photography Display with Interactive Control of Viewing Parameters. IEEE Trans. Visualization and Computer Graphics 15(5), 841–852 (2009) 3. : Super-resolution Image Reconstruction: A Technical Overview. IEEE Signal Processing Magazine 20(3), 21–36 (2003) 4. : Image-Based Visual Hulls. In: Proc. ACM SIGGRAPH, pp. 369–374 (2000) 5. : Real-Time Consensus-Based Scene Reconstruction Using Commodity Graphics Hardware.

The top row shows the results with adaptive regularization, and the bottom shows those without it, where w(p) was fixed to 2000 for all pixels. When λ became larger (meaning stronger regularization), the resulting images by SR-based synthesis converged to I(t)↑ in both cases. Meanwhile, when λ became smaller (meaning weaker regularization), the resulting images were sharper, but some regions, such as occlusion boundaries, became noisy due to mis-registrations. 0 × 10−13 because the regions with less reliable depth are more strongly regularized.

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