Title :
A stereo VPIC system
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. It involves the solution of a complex optimization problem satisfying VPIC-related constraints. 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. Experimental results are presented to illustrate the performance of both stereo VPIC matching and predicting algorithms in natural images
Keywords :
data compression; edge detection; image coding; natural scenes; optimisation; stereo image processing; visual perception; binocular stereo system; coding primitives; complex optimization problem; compression; dense disparity map; high-information edge regions; natural images; projected real-scene surfaces; spatial matching; stereo VPIC system; uniform regions; visual pattern image coding; Computer vision; Constraint optimization; Image coding; Laboratories; Layout; Machine vision; Military computing; Pixel; Prediction algorithms; Stereo vision;
Conference_Titel :
Image Analysis and Interpretation, 1996., Proceedings of the IEEE Southwest Symposium on
Conference_Location :
San Antonio, TX
Print_ISBN :
0-7803-3200-8
DOI :
10.1109/IAI.1996.493744
