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CVPR
2007
IEEE
15 years 24 days ago
3D Probabilistic Feature Point Model for Object Detection and Recognition
This paper presents a novel statistical shape model that can be used to detect and localise feature points of a class of objects in images. The shape model is inspired from the 3D...
Sami Romdhani, Thomas Vetter
MICCAI
2009
Springer
14 years 8 months ago
Fast Automatic Segmentation of the Esophagus from 3D CT Data Using a Probabilistic Model
Automated segmentation of the esophagus in CT images is of high value to radiologists for oncological examinations of the mediastinum. It can serve as a guideline and prevent confu...
Johannes Feulner, Shaohua Kevin Zhou, Alexander Ca...
ICCV
2011
IEEE
12 years 10 months ago
An adaptive coupled-layer visual model for robust visual tracking
This paper addresses the problem of tracking objects which undergo rapid and significant appearance changes. We propose a novel coupled-layer visual model that combines the targe...
Luka Cehovin, Matej Kristan, Ales Leonardis
ECCV
2006
Springer
15 years 20 days ago
A Physically-Motivated Deformable Model Based on Fluid Dynamics
A novel deformable model for image segmentation and shape recovery is presented. The model is inspired by fluid dynamics and is based on a flooding simulation similar to the waters...
Andrei Jalba, Jos B. T. M. Roerdink
PAMI
2007
197views more  PAMI 2007»
13 years 10 months ago
A Lattice-Based MRF Model for Dynamic Near-Regular Texture Tracking
—A near-regular texture (NRT) is a geometric and photometric deformation from its regular origin—a congruent wallpaper pattern formed by 2D translations of a single tile. A dyn...
Wen-Chieh Lin, Yanxi Liu