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Novel Techniques for Describing Shapes in Computer Graphics and Image Processing

Ziel

Image informatics is a key technology for realising the information society. It comprises both image synthesis (computer graphics) and image analysis (image processing). The common way to describe images and shapes is by means of pixels (for image analysis) and triangles (for image synthesis). These descriptions have their inherent shortcomings. Due to technological developments (Moore's Law) the geometrical models are becoming so large that these shortcomings become inadmissible. Therefore we aim at a significant enhancement of traditional shape description methods based on a semantically higher-level geometric description language. Image informatics is a key technology for realising the information society. It comprises both image synthesis (computer graphics) and image analysis (image processing). The common way to describe images and shapes is by means of pixels (for image analysis) and triangles (for image synthesis). These descriptions have their inherent shortcomings. Due to technological developments (Moore's Law) the geometrical models are becoming so large that these shortcomings become inadmissible. Therefore we aim at a significant enhancement of traditional shape description methods based on a semantically higher-level geometric description language.

DESCRIPTION OF WORK
Mathematical conceptions of homotopy and Morse theory might be useful to overcome the barriers of existing shape description techniques. Preliminary investigations carried out by e.g. T. Kunii in Japan show promising results. We will bring together a number of competent European researchers, we will consult Kunii and get early results (working demonstrators) to assure industrial interest. On basis of the results obtained in this twelve month project, it will be decided whether these new and novel techniques merit a full scale project.

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UNIVERSITEIT LEIDEN
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