Parameterized surface fitting via MAP estimation for binocular stereo

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 ar...

Ausführliche Beschreibung

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Bibliographische Detailangaben
Hauptverfasser: Weisman, M.J., Yuille, A.L., Clark, J.J.
Format: Tagungsbericht
Sprache:eng
Schlagworte:
Cameras
Equations
Geometry
Image reconstruction
Joining processes
Layout
Stereo image processing
Stereo vision
Surface fitting
Surface reconstruction
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Beschreibung
Zusammenfassung: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.
ISSN:1050-4729
2577-087X
DOI:10.1109/ROBOT.1995.525564