Title :
Generating complete depth maps in passive vision systems
Author :
Dillon, Craig ; Gaelli, T.
Author_Institution :
Dept. of Comput. Sci., Melbourne Univ., Parkville, Vic., Australia
fDate :
30 Aug-3 Sep 1992
Abstract :
The authors describe a hybrid system which uses multiple depth resources, rule-based depth interpolation and predictive rendering to generate accurate and dense depth maps. Initial depth estimates are obtained from multiple views (shape-from-generalised-stereo) and by shape-from-focus. The resultant sparse depth maps are then interpolated symbolically. The interpolated depth map for each region is corrected by inverse rendering. It is shown that nontrivial integration of depth resources reduces many of the problems normally associated with considering each depth resource individually
Keywords :
artificial intelligence; image processing; pattern recognition; complete depth map generation; complete depth maps; multiple depth resources; passive vision systems; predictive rendering; rule-based depth interpolation; shape-from-focus; shape-from-generalised-stereo; symbolic interpretation; Computer science; Data mining; Hybrid power systems; Interpolation; Machine vision; Pixel; Rendering (computer graphics); Shape; Smoothing methods; Topology;
Conference_Titel :
Pattern Recognition, 1992. Vol.I. Conference A: Computer Vision and Applications, Proceedings., 11th IAPR International Conference on
Conference_Location :
The Hague
Print_ISBN :
0-8186-2910-X
DOI :
10.1109/ICPR.1992.201624