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ECCV
2008
Springer
16 years 5 months ago
A Pose-Invariant Descriptor for Human Detection and Segmentation
We present a learning-based, sliding window-style approach for the problem of detecting humans in still images. Instead of traditional concatenation-style image location-based feat...
Zhe Lin, Larry S. Davis
BILDMED
2008
147views Algorithms» more  BILDMED 2008»
15 years 5 months ago
Automatic Liver Segmentation Using the Random Walker Algorithm
In this paper we present a new method for fully automatic liver segmentation in computed tomography images. First, an initial set of seed points for the random walker algorithm is ...
Florian Maier, Andreas Wimmer, Grzegorz Soza, Jens...
158
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MICCAI
2006
Springer
16 years 4 months ago
Improving Segmentation of the Left Ventricle Using a Two-Component Statistical Model
Abstract. Quality of segmentations obtained by 3D Active Appearance Models (AAMs) crucially depends on underlying training data. MRI heart data, however, often come noisy, incomple...
Jirí Hladuvka, Katja Bühler, Sebastian...
ICPR
2006
IEEE
16 years 5 months ago
Automatic Hip Bone Segmentation Using Non-Rigid Registration
This paper presents a method for automatic segmentation of bone from volumetric computed tomography (CT) data. Due to osteoporosis, which degenerates the bone density and hence de...
Hans Knutsson, Johanna Pettersson, Magnus Borga
ICCV
2011
IEEE
14 years 4 months ago
Segmentation from a Box
Drawing a box around an intended segmentation target has become both a popular user interface and a common output for learning-driven detection algorithms. Despite the ubiquity of...
Leo Grady, Marie-Pierre Jolly, Aaron Seitz