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» Shape and Appearance Context Modeling
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CVPR
2007
IEEE
15 years 11 months 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
15 years 7 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
13 years 9 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
ICPR
2008
IEEE
15 years 11 months ago
Facial expression analysis with facial expression deformation
In this paper, we proposes an effective and novel approach to recognize subtle facial expression method which is facial expression deformation. The proposed method deforms subtle ...
Daijin Kim, Jongju Shin, Sungsoo Park
CVPR
2012
IEEE
13 years 7 days ago
RGB-(D) scene labeling: Features and algorithms
Scene labeling research has mostly focused on outdoor scenes, leaving the harder case of indoor scenes poorly understood. Microsoft Kinect dramatically changed the landscape, show...
Xiaofeng Ren, Liefeng Bo, Dieter Fox