Image-based rendering (IBR) is unique in that it requires computer graphics, computer vision, and image processing to join forces to solve a common goal, namely photorealistic rendering through the use of images. This book surveys the various techniques used in the area. It shows that representations and rendering techniques can differ radically.
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3D point 3D scanner 3D warping anti-aliased backward mapping barycentric coordinates billboards blending BRDF camera motion camera plane captured colors computer graphics Computer Vision convex hull deﬁned depth maps diﬀerent diﬃcult diﬀuse and non-diﬀuse eﬀects epipolar line explicit geometry ﬁlter ﬁnal ﬁrst ﬁxed focal plane forward mapping fundamental matrix geometric proxy graphics hardware graphics pipeline handle IBR continuum IBR representations IBR techniques IEEE Image-based rendering Images courtesy input images layered reﬂection eﬀects light ﬁeld rendering Lumigraph Lumigraph 32 manifold mosaic Microsoft Research multiple non-diﬀuse components novel views Olivier Faugeras pixel shaders planar plenoptic function point-based rendering polygon meshes projection real scenes reconstruction reference view rendering techniques result shown in Figure simpliﬁed source images source views speciﬁcally splatting stereo structure from motion Szeliski target screen target view triangle trifocal trifocal tensor view interpolation view morphing view-dependent texture mapping viewpoint virtual camera virtual view ΩΩΩΩ
Page 89 - S. Peleg and M. Ben-Ezra. Stereo panorama with a single camera. In IEEE Conference on Computer Vision and Pattern Recognition, pages 395-401 , Ft.