By Heung-Yeung Shum
ISBN-10: 0387211136
ISBN-13: 9780387211138
ISBN-10: 0387326685
ISBN-13: 9780387326689
Focusing completely on Image-Based Rendering (IBR) this publication examines the speculation, perform, and purposes linked to image-based rendering and modeling. themes coated range from IBR easy thoughts and representations at the idea facet to sign processing and information compression at the functional facet. one of many in basic terms titles committed solely to IBR this booklet is meant for researchers, pros, and basic readers attracted to the subjects of special effects, desktop imaginative and prescient, photograph strategy, and video processing. With this ebook advanced-level scholars in EECS learning similar disciplines may be in a position to heavily extend their wisdom approximately image-based rendering.
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Additional info for Image-Based Rendering
Example text
To construct a view, the system uses the closest set of images, warps them using precomputed corresponding features, and blends the results. 3 Joint view triangulation The biggest problems associated with view interpolation are pixel matching and visibility reasoning. Visibility reasoning is especially difficult in cases where the source images are uncalibrated; as a result, there is no relative depth information to predict occlusion in new views. Lhuillier and Quan [162] proposed the idea of joint view triangulation (JVT) to handle these problems.
Multiperspective images have also been called MCOP images [240], multiperspective panoramas [324], pushbroom images [97], and manifold mosaics [227], among other names. 's notion of manifold mosaics. The manifold mosaic is created by projecting thin strips from images; the shape of these thin strips depend on the camera motion. More specifically, for each strip, the boundaries are perpendicular to the optic flow, and the width is proportional to the amount of motion. 10, which also shows an example mosaic.
A) Source views witii extracted point matches, (b) Computed disparity at points witii correspondence. The darker the pixel, the smaller the disparity. White pixels represent those without any correspondence. Epipolar lines (shown as dark lines) are superimposed, (c) Resulting meshes with constraint edges (in red), (d) Interpolated views. Images courtesy of Maximc Lhuillier. See color plate section near center of book. 2A Transfer methods Transfer methods (a term used within the photogrammetric community) are characterized by the use of a relatively small number of images with the application of geometric constraints (either recovered at some stage or known a priori) to reproject image pixels appropriately at a given virtual camera viewpoint.