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» Learning Object Shape: From Drawings to Images
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183
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MVA
1996
205views Computer Vision» more  MVA 1996»
15 years 7 months ago
Highlight Separation Using Multiple Images with Intensities and Ranges.
In this paper, a method for extracting influences of specular reflection and shade from multiple color images is described. As regards extraction, the di-chromatic reflection mode...
Masaki Otsuki, Yukio Sato
MICCAI
2005
Springer
16 years 7 months ago
2D and 3D Shape Based Segmentation Using Deformable Models
A novel shape based segmentation approach is proposed by modifying the external energy component of a deformable model. The proposed external energy component depends not only on t...
Ayman El-Baz, Seniha Esen Yuksel, Hongjian Shi, Al...
CVPR
2009
IEEE
1216views Computer Vision» more  CVPR 2009»
17 years 1 months ago
Marked Point Processes for Crowd Counting
A Bayesian marked point process (MPP) model is developed to detect and count people in crowded scenes. The model couples a spatial stochastic process governing number and placem...
Robert T. Collins, Weina Ge
203
Voted
CVPR
2003
IEEE
16 years 8 months ago
Activity Recognition Using the Dynamics of the Configuration of Interacting Objects
Monitoring activities using video data is an important surveillance problem. A special scenario is to learn the pattern of normal activities and detect abnormal events from a very...
Namrata Vaswani, Amit K. Roy Chowdhury, Rama Chell...
196
Voted
CLOR
2006
15 years 10 months ago
A Sparse Object Category Model for Efficient Learning and Complete Recognition
We present a "parts and structure" model for object category recognition that can be learnt efficiently and in a weakly-supervised manner: the model is learnt from examp...
Robert Fergus, Pietro Perona, Andrew Zisserman