Title :
Volumetric Representation for Sparse Multi-Views
Author :
Anantrasirichai, N. ; Canagarajah, C.N. ; Redmill, D.W. ; Bull, David R.
Author_Institution :
Dept. of Electr. & Electron. Eng., Bristol Univ., UK
Abstract :
In this paper, we propose a novel volumetric representation for a sparse set of calibrated multi-view images of a non-Lambertian scene. The depth map of each reference view is registered into a volume and a simple algorithm to shape the volume is introduced. Particular colours are defined for each voxel to render a smooth and realistic image. Synthesized results demonstrate the good performance with the proposed scheme, both for parallel-camera and non-parallel-camera geometries.
Keywords :
geometry; image colour analysis; image registration; image representation; image colour analysis; image registration; nonLambertian scene; nonparallel-camera geometry; sparse multiview image; volumetric representation; Application software; Cameras; Computer vision; Geometry; Image generation; Image reconstruction; Layout; Rendering (computer graphics); Shape; Stereo vision; Image synthesis; Three-dimensional vision;
Conference_Titel :
Image Processing, 2006 IEEE International Conference on
Conference_Location :
Atlanta, GA
Print_ISBN :
1-4244-0480-0
DOI :
10.1109/ICIP.2006.312545
