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Titlebook: Image Analysis; 13th Scandinavian Co Josef Bigun,Tomas Gustavsson Conference proceedings 2003 Springer-Verlag GmbH Germany, part of Springe

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楼主: invoke
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A Note on Evaluation of Image Recognition Systems that recognize linear structures. We illustrate the latter using road and lines-of-communication recognition systems. We describe past work on evaluation systems and compare their strengths and weaknesses relative to the current work.
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Auto Camera Calibration Method for Person Tracking Applicationsther reducing the measurements needed to be made manually to de ne the image-plane to ground-plane homography. We also do an analysis of the sensitivity of the recovered transformation to errors in measurements and noise, and point out how to use the method to achieve best calibration results.
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Dense Stereomatching Algorithm Performance for View Prediction and Structure Reconstructionf error statistics. The errors are focused on basic matching failure mechanisms and their definition observes the principles of independence, symmetry and completeness. A ground truth experiment shows that the best choice for view prediction is the Graph Cuts algorithm and for structure reconstruction it is the Confidently Stable Matching.
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Robust Curve Detection Using a Radon Transform in Orientation SpaceRadon transform. The orientation space representation can represent multiple intersecting structures and contains local orientation information. We demonstrate our approach on a problem in geology and show that we can detect curves in a heterogeneous and noisy background.
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The Emergence of Visual Categories - A Computational Perspectivee categories of objects and many more using our visual system; by some estimates, we learn around 10 new categories per day with minimal supervision during the first few years of our lives. How can this happen? I will outline a computational approach to the problem of representing the visual propert
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Character Prototyping in Document Images Using Gabor Filterstext can be seen as texture, characters being the smallest texture elements, and we verify this hypothesis by a series of experiments over different sets of character images. We first apply a bank of 24 Gabor filters (4 frequencies and 6 orientations) on each set, then we extract texture features, t
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