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» From Images to Shape Models for Object Detection
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223
Voted
CVPR
2011
IEEE
14 years 10 months ago
Nonlinear Shape Manifolds as Shape Priors in Level Set Segmentation and Tracking
We propose a novel nonlinear, probabilistic and variational method for adding shape information to level setbased segmentation and tracking. Unlike previous work, we represent sha...
Victor Prisacariu, Ian Reid
CVPR
2009
IEEE
17 years 14 days ago
D - Clutter: Building object model library from unsupervised segmentation of cluttered scenes
Autonomous systems which learn and utilize a limited visual vocabulary have wide spread applications. Enabling such systems to segment a set of cluttered scenes into objects is ...
Chandra Kambhamettu, Dimitris N. Metaxas, Gowri So...
196
Voted
ICASSP
2011
IEEE
14 years 9 months ago
Combining generic and class-specific codebooks for object categorization and detection
Combining advantages of shape and appearance features, we propose a novel model that integrates these two complementary features into a common framework for object categorization ...
Hong Pan, Yaping Zhu, Liang-Zheng Xia, Truong Q. N...
175
Voted
ICCV
1995
IEEE
15 years 9 months ago
A Multi-Body Factorization Method for Motion Analysis
The structure-from-motion problem has been extensively studied in the field of computer vision. Yet, the bulk of the existing work assumes that the scene contains only a single m...
João Paulo Costeira, Takeo Kanade
ECCV
2008
Springer
16 years 8 months ago
The Naked Truth: Estimating Body Shape Under Clothing
We propose a method to estimate the detailed 3D shape of a person from images of that person wearing clothing. The approach exploits a model of human body shapes that is learned fr...
Alexandru O. Balan, Michael J. Black