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ICRA
2009
IEEE
158views Robotics» more  ICRA 2009»
15 years 4 months ago
MMM-classification of 3D range data
This paper presents a method for accurately segmenting and classifying 3D range data into particular object classes. Object classification of input images is necessary for applicat...
Anuraag Agrawal, Atsushi Nakazawa, Haruo Takemura
ICRA
2009
IEEE
188views Robotics» more  ICRA 2009»
15 years 4 months ago
Onboard contextual classification of 3-D point clouds with learned high-order Markov Random Fields
Contextual reasoning through graphical models such as Markov Random Fields often show superior performance against local classifiers in many domains. Unfortunately, this performanc...
Daniel Munoz, Nicolas Vandapel, Martial Hebert
IDEAL
2009
Springer
15 years 4 months ago
An Automatic Segmentation and Reconstruction of Mandibular Structures from CT-Data
In any medical data analysis a good visualization of specific parts or tissues are fundamental in order to perform accurate diagnosis and treatments. For a better understanding of ...
Iñigo Barandiarán, Iván Mac&i...
153
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IGARSS
2009
15 years 4 months ago
Estimation and Segmentation in Non-Gaussian POLSAR Clutter by SIRV Stochastic Processes
In the context of non-Gaussian polarimetric clutter models, this paper presents an application of the recent advances in the field of Spherically Invariant Random Vectors (SIRV) m...
Gabriel Vasile, Jean Philippe Ovarlez, Fréd...
IGARSS
2009
15 years 4 months ago
Robust Endmember Extraction in the Presence of Anomalies
Most available methods for endmember extraction use the convexity of the data structure and consider the vertices of the data as the purest pixels. Such methods do not consider th...
Olga Duran, Maria Petrou