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» A probabilistic framework for image segmentation
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CVPR
1999
IEEE
16 years 5 months ago
Deformable Template and Distribution Mixture-Based Data Modeling for the Endocardial Contour Tracking in an Echographic Sequence
We1 present a new method to shape-based segmentation of deformable anatomical structures in medical images and validate this approach by detecting and tracking the endocardial bor...
Max Mignotte, Jean Meunier
IPAS
2010
15 years 1 months ago
An unsupervised learning approach for facial expression recognition using semi-definite programming and generalized principal co
In this paper, we consider facial expression recognition using an unsupervised learning framework. Specifically, given a data set composed of a number of facial images of the same...
Behnood Gholami, Wassim M. Haddad, Allen Tannenbau...
140
Voted
VISSYM
2004
15 years 4 months ago
Illustrating Surfaces in Volume
This paper presents a novel framework for illustrating surfaces in a volume. Surfaces are illustrated by drawing only feature lines, such as silhouettes, valleys, ridges, and surf...
Xiaoru Yuan, Baoquan Chen
124
Voted
ICIP
2005
IEEE
16 years 5 months ago
Off-line multiple object tracking using candidate selection and the Viterbi algorithm
This paper presents a probabilistic framework for off-line multiple object tracking. At each timestep, a small set of deterministic candidates is generated which is guaranteed to ...
Anil C. Kokaram, François Pitié, Roz...
150
Voted
SCIA
2009
Springer
199views Image Analysis» more  SCIA 2009»
15 years 10 months ago
Appearance Based Extraction of Planar Structure in Monocular SLAM
This paper concerns the building of enhanced scene maps during real-time monocular SLAM. Specifically, we present a novel algorithm for detecting and estimating planar structure i...
José Martínez-Carranza, Andrew Calwa...