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» An Auxiliary Variational Method
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ISBI
2004
IEEE
16 years 7 months ago
Level Set Methods for Dynamic Tomography
In this paper, we propose a novel variational framework for the reconstruction of dynamic objects from sparse and noisy tomographic data. Using an object-based scene model, we dev...
Yonggang Shi, William Clement Karl
MVA
1998
190views Computer Vision» more  MVA 1998»
15 years 7 months ago
A Hierarchical Method of Recognizing Plant Species by Leaf Shapes
In order to recognize plant species from their shapes, shapes of contours of leaves can be used. However, contours of leaves are complicated and have variations. In order to deal ...
Cholhong Im, Hirobumi Nishida, Tosiyasu L. Kunii
IS
2010
15 years 4 months ago
DB-SMoT: A direction-based spatio-temporal clustering method
—Existing works for semantic trajectory data analysis have focused on the intersection of trajectories with application important geographic information and the use of the speed ...
Jose Antonio M. R. Rocha, Valéria Ces&aacut...
SCALESPACE
2009
Springer
16 years 28 days ago
Augmented Lagrangian Method, Dual Methods and Split Bregman Iteration for ROF Model
In the recent decades the ROF model (total variation (TV) minimization) has made great successes in image restoration due to its good edge-preserving property. However, the non-diï...
Xue-Cheng Tai, Chunlin Wu
ECCV
1996
Springer
16 years 8 months ago
Colour Constancy for Scenes with Varying Illumination
We present an algorithm which uses information from both surface reflectance and illumination variation to solve for colour constancy. Most colour constancy algorithms assume that ...
Kobus Barnard, Graham D. Finlayson, Brian V. Funt