DocumentCode :
1698319
Title :
Metric aspect of depth image-based rendering
Author :
Audu, A.I. ; Sadka, A.H.
Author_Institution :
Electron. & Comput. Eng. Dept., Brunel Univ., Uxbridge, UK
fYear :
2013
Firstpage :
1
Lastpage :
6
Abstract :
Depth image-based rendering has gained significant acceptance having been at the frontiers of understanding and realization of three-dimensional and free-view televisions. The appearance of holes on a rendered image and the occurrence of depth discontinuity on the surface of the object at virtual image which forms the basis of view-dependent depth can be significantly minimized if stringent considerations are exercised on region match measures such as sum of absolute differences, Sum of square differences, and normalized cross-correlation used during interest point detection and feature matching. This paper seeks an understanding of the role played by interest points in the generation of depth map which consequently affects the quality of textured depth map of a virtual viewpoint in between two reference still images from existing cameras.
Keywords :
feature extraction; image matching; image texture; object detection; rendering (computer graphics); cameras; depth discontinuity; depth image-based rendering; feature matching; free-view televisions; interest point detection; normalized cross-correlation; reference still images; region match measures; textured depth map quality; three-dimensional televisions; view-dependent depth; virtual image; virtual viewpoint; Cameras; Detectors; Equations; Feature extraction; Geometry; Rendering (computer graphics); Three-dimensional displays; Depth map; normalised cross-correlation; sum of absolute differences; sumof squared differences; virtual viewpoint;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Communications, Signal Processing, and their Applications (ICCSPA), 2013 1st International Conference on
Conference_Location :
Sharjah
Print_ISBN :
978-1-4673-2820-3
Type :
conf
DOI :
10.1109/ICCSPA.2013.6487285
Filename :
6487285
Link To Document :
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