Abstract
High level vision tasks, such as object matching and recognition and pose estimation, are performed on features extracted from images. The arrangements of such features are usually irregular and hence the problems fall into categories LP3 and LP4. In this chapter, we present MAP-MRF formulations for solving these problems.
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© 1995 Springer Japan
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Li, S.Z. (1995). High Level MRF Models. In: Markov Random Field Modeling in Computer Vision. Computer Science Workbench. Springer, Tokyo. https://doi.org/10.1007/978-4-431-66933-3_5
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DOI: https://doi.org/10.1007/978-4-431-66933-3_5
Publisher Name: Springer, Tokyo
Print ISBN: 978-4-431-66935-7
Online ISBN: 978-4-431-66933-3
eBook Packages: Springer Book Archive