Abstract
Advances in sensor and computer technology are resulting in an increased use of three-dimensional images in applications such as medical diagnosis, video understanding, and fluid dynamics. In these applications, each gray level represents certain relevant property associated with the location (i, j, k) in the modeled three-dimensional world. The ability to detect features and/or track them over time is the ultimate goal in the automatic analysis of these images.
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© 1995 Springer-Verlag New York, Inc.
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Friedman, A. (1995). Feature detection and tracking in three dimensional image analysis. In: Mathematics in Industrial Problems. The IMA Volumes in Mathematics and its Applications, vol 67. Springer, New York, NY. https://doi.org/10.1007/978-1-4613-8454-0_8
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DOI: https://doi.org/10.1007/978-1-4613-8454-0_8
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