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» Probabilistic Modeling and Recognition of 3-D Objects
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ICPR
2006
IEEE
14 years 8 months ago
A Model-based Approach for Rigid Object Recognition
Most object recognition systems require large databases of real images for classifier training. To collect real images for this purpose is a difficult and expensive process. This ...
Chee Boon Chong, Fee-Lee Lim, Tele Tan
ICPR
2010
IEEE
13 years 11 months ago
Vehicle Recognition As Changes in Satellite Imagery
Over the last several years, a new probabilistic representation for 3-d volumetric modeling has been developed. The main purpose of the model is to detect deviations from the norm...
Ozge Can Ozcanli, Joseph Mundy
DAGM
2005
Springer
14 years 1 months ago
Three-Dimensional Shape Knowledge for Joint Image Segmentation and Pose Estimation
Abstract. This paper presents the integration of 3D shape knowledge into a variational model for level set based image segmentation and tracking. Having a 3D surface model of an ob...
Thomas Brox, Bodo Rosenhahn, Joachim Weickert
ICCV
2009
IEEE
15 years 22 days ago
Learning a dense multi-view representation for detection, viewpoint classification and synthesis of object categories
Recognizing object classes and their 3D viewpoints is an important problem in computer vision. Based on a partbased probabilistic representation [31], we propose a new 3D object...
Hao Su, Min Sun, Li Fei-Fei, Silvio Savarese