Parameterized Surface Fitting via MAP Estimation for Binocular Stereo

We present a novel method for reconstructing three dimensional surfaces from stereo intensity data. We employ a set of competing surface hypotheses based on parameterized models. We use maximum a posteriori (MAP) estimation and demonstrate a connection to the Hough transform. Experimental results are given showing the effectiveness of the algorithm.

Authors

• Michael J. Weisman
• Alan L. Yuille
• James J. Clark

Keywords

• Surface fitting
• Cameras
• Image reconstruction
• Geometry
• Stereo vision
• Surface reconstruction
• Equations
• Stereo image processing
• Layout
• Joining processes
• Posterior Mode
• Model Parameters
• Hough Transform
• Image Pairs
• Line Scan
• Small Window
• Feature Matching
• Left Image
• Stereopsis
• Points In Window