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» Application of Level Set Methods in Computer Vision
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119
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ICCV
2009
IEEE
15 years 5 days ago
Kernel map compression using generalized radial basis functions
The use of Mercer kernel methods in statistical learning theory provides for strong learning capabilities, as seen in kernel principal component analysis and support vector machin...
Omar Arif, Patricio A. Vela
127
Voted
ECCV
2004
Springer
16 years 4 months ago
Unlevel-Sets: Geometry and Prior-Based Segmentation
We present a novel variational approach to top-down image segmentation, which accounts for significant projective transformations between a single prior image and the image to be s...
Tammy Riklin-Raviv, Nahum Kiryati, Nir A. Sochen
135
Voted
CVPR
2010
IEEE
15 years 10 months ago
Multilinear Pose and Body Shape Estimation of Dressed Subjects from Image Sets
In this paper we propose a multilinear model of human pose and body shape which is estimated from a database of registered 3D body scans in different poses. The model is generated...
Nils Hasler, Hanno Ackermann, Bodo Rosenhahn, Thor...
ACCV
2010
Springer
14 years 9 months ago
Image-Based 3D Modeling via Cheeger Sets
We propose a novel variational formulation for generating 3D models of objects from a single view. Based on a few user scribbles in an image, the algorithm automatically extracts t...
Eno Töppe, Martin R. Oswald, Daniel Cremers, ...
130
Voted
ECCV
2006
Springer
16 years 4 months ago
Learning Discriminative Canonical Correlations for Object Recognition with Image Sets
Abstract. We address the problem of comparing sets of images for object recognition, where the sets may represent arbitrary variations in an object's appearance due to changin...
Tae-Kyun Kim, Josef Kittler, Roberto Cipolla