@inproceedings{2ffd254b5f6244a0bc846f7fc1a0855e,
title = "A physics-based framework for segmentation, shape and motion estimation",
abstract = "This paper summarizes our research efforts towards the development of a physics-based modeling framework that addresses the difficult problems of segmentation, shape and motion estimation in a uniform way. The framework is based on the sophisticated integration of mathematical techniques from geometry, physics and mechanics, with special emphasis on the design of algorithms with close to real-time performance. We demonstrate the usefulness of this framework in experiments involving image and range data, as well as in biomedical applications.",
author = "Dimitri Metaxas",
note = "Publisher Copyright: {\textcopyright} Springer-Verlag Berlin Heidelberg 1995.; International NSF-ARPA Workshop on Object Representation in Computer Vision, 1994 ; Conference date: 05-12-1994 Through 07-12-1994",
year = "1995",
doi = "10.1007/3-540-60477-4_17",
language = "English (US)",
isbn = "3540604774",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "233--247",
editor = "Ari Gross and Martial Hebert and Terry Boult and Jean Ponce",
booktitle = "Object Representation in Computer Vision - International NSF-ARPA Workshop, Proceedings",
address = "Germany",
}