By Martin Eisemann, Felix Klose, Marcus Magnor (auth.), Daniel Cremers, Marcus Magnor, Martin R. Oswald, Lihi Zelnik-Manor (eds.)
With the speedy improvement of video imaging know-how and the drastic advancements in CPU pace and reminiscence, either video processing and computational video have gotten an increasing number of well known. just like the electronic revolution in images of fifteen years in the past, this day electronic tools are revolutionizing the way in which tv and flicks are being made. With the appearance electronic motion picture cameras, electronic projector know-how for motion picture theaters, and 3D videos, the motion picture and
television construction pipeline is popping all-digital, beginning up
numerous new possibilities for how dynamic scenes are got, video pictures will be edited, and visible media will be experienced.
This state of the art survey presents a compilation of chosen articles caused by a workshop on Video Processing and Computational Video, held at Dagstuhl citadel, Germany, in October 2010. The seminar introduced jointly junior and senior
researchers from desktop imaginative and prescient, special effects, and picture verbal exchange, either from academia and undefined, to handle the demanding situations in computational video. in this workshop, forty three researchers from around the world mentioned the cutting-edge, modern demanding situations, and destiny examine in imaging,
processing, studying, modeling, and rendering of real-world, dynamic scenes.
The eight completely revised papers awarded have been conscientiously reviewed and chosen from greater than 30 lectures given on the seminar. The articles supply a great evaluate of the sector of computational video and video processing with a special
focus on computational images, video-based rendering, and 3D video.
Read Online or Download Video Processing and Computational Video: International Seminar, Dagstuhl Castle, Germany, October 10-15, 2010. Revised Papers PDF
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Extra resources for Video Processing and Computational Video: International Seminar, Dagstuhl Castle, Germany, October 10-15, 2010. Revised Papers
16] in all but the fence scene. In the fence scene the least squares approach fails to assign correct motion to the large occluded areas, as nearly all moving points in the image are occluded or disoccluded between I1 and I2 . For the test scenes with planar motion, the least squares algorithm achieves results competitive to the occlusion aware optical ﬂow algorithm of Sand and Teller , while the motion ﬁeld for the out-of-plane rotation of the corner scene with the changing motion at the occluded points is less accurate.
We also show results for real-world recordings. The recordings were made with a PointGrey Flea2 camera that is able to acquire short- and long-exposure images alternatingly. 1 Motion Fields for Synthetic Test Scenes We consider synthetic test scenes containing diﬀerent kinds of motion. The scene square (Fig. 6, ﬁrst row) combines 10 pixels per time unit horizontal translational motion of the square with 15 pixels per time unit vertical motion of the background on a 225 × 320 pixels image. The 300 × 380 pixels scene Ben (Fig.
ACM Transactions on Graphics 24, 240–261 (2005) 28. : Multi-view texturing of imprecise mesh. In: Asian Conference on Computer Vision, pp. 468–476 (2009) Towards Plenoptic Raumzeit Reconstruction 23 29. : Harmonized Texture Mapping. In: International Symposium on 3D Data Processing, Visualization and Transmission, pp. 1–8 (2010) 30. : View Interpolation for Image Synthesis. In: SIGGRAPH, pp. 279–288 (1993) 31. : Post-Rendering 3D Warping. In: Symposium on Interactive 3D Graphics, pp. 7–16 (1997) 32.