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» Probability Models for High Dynamic Range Imaging
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MICCAI
2004
Springer
15 years 10 months ago
Segmentation of 3D Probability Density Fields by Surface Evolution: Application to Diffusion MRI
We propose an original approach for the segmentation of three-dimensional fields of probability density functions. This presents a wide range of applications in medical images proc...
Christophe Lenglet, Mikaël Rousson, Rachid De...
ICPR
2008
IEEE
15 years 11 months ago
Integration of time-sequential range images for reconstruction of a high-resolution 3D shape
The recognition of dynamic scenes using 3D shapes could provide useful approaches for various applications. However, the conventional 3D-shape sensing systems dedicated for such s...
Yoshihiro Watanabe, Takashi Komuro, Masatoshi Ishi...
COMPGEOM
2010
ACM
15 years 2 months ago
A dynamic data structure for approximate range searching
In this paper, we introduce a simple, randomized dynamic data structure for storing multidimensional point sets, called a quadtreap. This data structure is a randomized, balanced ...
David M. Mount, Eunhui Park
ICIP
2009
IEEE
14 years 7 months ago
Multichannel dual domain infrared target tracking for highly evolutionary target signatures
We introduce a new SIR particle filter that performs tracking in a joint feature space where pixel domain data are fused with measurements obtained from an 18-channel modulation d...
Colin M. Johnston, Nick A. Mould, Joseph P. Havlic...
ICIP
2000
IEEE
15 years 2 months ago
Vector Probability Diffusion
Minimal surface regularization has been used in several applications ranging from stereo to image segmentation, sometimes hidden as a graph-cut discrete formulation, or as a stric...
Alvaro Pardo, Guillermo Sapiro