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Proceedings Paper

Planar surface detection and extraction in image pair taken under urban environment
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Paper Abstract

Planar surfaces are important characteristics in man-made environments. Planes have many practical applications in computer vision and computer graphics, including camera calibration and interactive modeling. Here, we develop a plane detection method for piecewise image pair taken under urban environment. All potential planes are detected based on planar homographies estimated from Levenberg-Marquardt algorithm. In order to extract the whole planes, the normalized cut method is used to segment the original images. We pick those segmented regions with maximum fit to those features satisfied with planar homographies as the whole planes. We illustrate the algorithm's performance on gray and color image pairs.

Paper Details

Date Published: 28 April 2010
PDF: 10 pages
Proc. SPIE 7697, Signal Processing, Sensor Fusion, and Target Recognition XIX, 769716 (28 April 2010); doi: 10.1117/12.849928
Show Author Affiliations
Qiang He, Mississippi Valley State Univ. (United States)
Chee-Hung Henry Chu, Univ. of Louisiana at Lafayette (United States)


Published in SPIE Proceedings Vol. 7697:
Signal Processing, Sensor Fusion, and Target Recognition XIX
Ivan Kadar, Editor(s)

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