DocumentCode :
1013914
Title :
Surfaces with occlusions from layered stereo
Author :
Lin, Michael H. ; Tomasi, Carlo
Author_Institution :
Acuity Technol., Menlo Park, CA, USA
Volume :
26
Issue :
8
fYear :
2004
Firstpage :
1073
Lastpage :
1078
Abstract :
We propose a new binocular stereo algorithm that estimates scene structure as a collection of smooth surface patches. The disparities within each patch are modeled by a continuous-valued spline, while the extent of each patch is represented via a pixelwise partitioning of the images. Disparities and extents are alternately estimated in an iterative, energy minimization framework. Experimental results demonstrate that, for scenes consisting of smooth surfaces, the proposed algorithm significantly improves upon the state of the art.
Keywords :
image segmentation; iterative methods; minimisation; splines (mathematics); stereo image processing; binocular stereo algorithm; continuous valued spline; energy minimisation; image segmentation; images pixelwise partitioning; iterative methods; patch modelling; scene structure estimation; smooth surface patches; surface occlusions; Calibration; Costs; Iterative algorithms; Layout; Partitioning algorithms; Pixel; Spline; Stereo vision; Surface fitting; Surface treatment; Binocular stereo vision; boundary localization; energy minimization; graph cuts; hybrid system; quantitative comparison.; sharp discontinuities; smooth surfaces; surface fitting; Algorithms; Artificial Intelligence; Computer Graphics; Image Enhancement; Image Interpretation, Computer-Assisted; Imaging, Three-Dimensional; Information Storage and Retrieval; Numerical Analysis, Computer-Assisted; Pattern Recognition, Automated; Photogrammetry; Reproducibility of Results; Sensitivity and Specificity; Signal Processing, Computer-Assisted;
fLanguage :
English
Journal_Title :
Pattern Analysis and Machine Intelligence, IEEE Transactions on
Publisher :
ieee
ISSN :
0162-8828
Type :
jour
DOI :
10.1109/TPAMI.2004.54
Filename :
1307013
Link To Document :
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