Abstract
We present a general method for matching segmented parts of objects by energy minimization. The energy is designed in order to cope with possible imperfections of the compared segmentations (merged, or missing regions), and relies on the comparison of shape and positional descriptors. The minimization of the energy is performed by a simulated annealing procedure.
This work partially comes from a project on object recognition, supported by the D.R.E.T, helded at SUDIMAGE research laboratory. Publication is courtesy of the D.R.E.T.
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© 1997 Springer-Verlag Berlin Heidelberg
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Azencott, R., Younes, L. (1997). An energy minimization method for matching and comparing structured object representations. In: Pelillo, M., Hancock, E.R. (eds) Energy Minimization Methods in Computer Vision and Pattern Recognition. EMMCVPR 1997. Lecture Notes in Computer Science, vol 1223. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-62909-2_96
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DOI: https://doi.org/10.1007/3-540-62909-2_96
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