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Full Description
This book contains 31 papers carefully selected from among those presented at the 7th Scandinavian Conference on Image Analysis. The authors have extended their papers to give a more in-depth discussion of the theory, or of the experimental validation of the method they have proposed. The topics covered are current and wide-ranging and include both 2D- and 3D-vision, and low to high level vision.
Contents
Part 1 Theoretical aspects of vision: local image structure, J.J. Koenderink; human image understanding, I. Biederman; an algebraic/analytic method for reconstruction from image correspondences, G. Sparr. Part 2 Computational aspects of image analysis: efficient matching of dynamically changing graphs, H. Bunke et al; using a generic algorithm to solve constraint satisfaction problems generated by an image interpreter, S. Truve; estimation of velocity and acceleration in time sequences, L. Haglund et al. Part 3 Applications of image analysis: cancer detection by texture analysis, F. Albregtsen et al; classification of LANDSAT image data using a neural network approach, S. Kamata et al; towards continuously operating integrated visions systems for robotics applications, J.L. Crowley; real time 3D-road modeling for autonomous vehicle guidance, U. Franke.