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A marked point process model with strong prior shape information for extraction of multiple, arbitrarily-shaped objects.
Abstract : We define a method for incorporating strong prior shape information into a recently extended Markov point process model for the extraction of arbitrarily-shaped objects from images. To estimate the optimal configuration of objects, the process is sampled using a Markov chain based on a stochastic birth-and-death process defined in a space of multiple objects. The single objects considered are defined by both the image data and the prior information in a way that controls the computational complexity of the estimation problem. The method is tested via experiments on a very high resolution aerial image of a scene composed of tree crowns.
Keywords :
multiple birth-and-death dynamics
Cited literature [19 references]
https://hal.inria.fr/inria-00436320
Contributor : Maria Kulikova <>
Submitted on : Thursday, November 26, 2009 - 12:30:36 PM
Last modification on : Monday, October 12, 2020 - 10:30:13 AM
Long-term archiving on: : Thursday, June 17, 2010 - 10:12:47 PM
Contributor : Maria Kulikova <>
Submitted on : Thursday, November 26, 2009 - 12:30:36 PM
Last modification on : Monday, October 12, 2020 - 10:30:13 AM
Long-term archiving on: : Thursday, June 17, 2010 - 10:12:47 PM
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PID1054029.pdf
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