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Titlebook: Image and Video Technology – PSIVT 2015 Workshops; RV 2015, GPID 2013, Fay Huang,Akihiro Sugimoto Conference proceedings 2016 Springer Nat

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Heuristic Assessment of Parameters of the Local Ground Approximation from Terrestrial LIDAR Data the Hough transform-based method and assessed visually, with a positive result. If the ground does not depart too far from the assumed planar shape, the errors are small in relation to those obtained with other measurement modalities.
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Automatic Matting Using Depth and Adaptive Trimapethod using depth-assisted sampling and adaptive trimap generation. We use depth to assist color for improving sample selection and generate trimap based on color distribution of local unknown regions to make it cover foreground boundary adaptively. Our experiments show the effectiveness of proposed method.
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Measuring Convexity via Convex Polygonsdemonstrated here. These polygons are scaled and translated to ensure that they fit the input shape and produce a meaningful convexity measure. Subsequently, a convexity measure can be computed based on the degree of overlap between the two shapes.
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Analysis on Coupled Line Cameras Using Projective Geometryn this study, we revisit CLCs using the concepts of projective geometry, such as cross-ratio and projective harmonic conjugate. Finally, we present novel and efficient algorithms to handle off-centered rectangles in CLCs and provide the experimental results of CLC-based reconstructions by using the proposed algorithm for real images.
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0302-9743 ectro-optical sensors for aerial and spaceimaging, EO4AS 2015; mathematical and computational methods in biomedicalimaging and image analysis, MCBMIIA 2015; and video surveillance, VSWS 2015..978-3-319-30284-3978-3-319-30285-0Series ISSN 0302-9743 Series E-ISSN 1611-3349
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Moving Cast Shadow Detection Using Joint Color and Texture Features with Neighboring Informatione combined to determine whether a pixel belongs to a shadow. Experimental results show that the method outperforms some state-of-the-art algorithms on a benchmark dataset of indoor and outdoor scene sequences.
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