Title :
Stereo image compression using VPIC
Author :
Craievich, Danielle ; Bovik, Alan C.
Author_Institution :
Lab. for Vision Syst., Texas Univ., Austin, TX, USA
Abstract :
A binocular stereo system for images coded by visual pattern image coding (VPIC) is presented and evaluated. The use of VPIC for stereo vision applications is motivated by the capability of its coding primitives to reflect meaningful physical properties of projected real-scene surfaces: high-information edge regions and uniform regions. An algorithm for spatial matching of VPIC primitives is proposed. A dense disparity map is obtained and then used, together with one of the VPIC coded images of the stereo pair, to predict the second stereo image. The proposed stereo system allows a very high compression of the overall stereo information
Keywords :
data compression; edge detection; image coding; image matching; stereo image processing; VPIC; coding primitives; dense disparity map; high-information edge regions; projected real-scene surfaces; spatial matching; stereo image compression; stereo vision applications; uniform regions; visual pattern image coding; Bandwidth; Cameras; Computer vision; Feature extraction; Image coding; Interpolation; Laboratories; Machine vision; Pixel; Stereo vision;
Conference_Titel :
Image Processing, 1996. Proceedings., International Conference on
Conference_Location :
Lausanne
Print_ISBN :
0-7803-3259-8
DOI :
10.1109/ICIP.1996.561045
