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ICCV
2009
IEEE
1425views Computer Vision» more  ICCV 2009»
16 years 9 days ago
Fast Ray Features for Learning Irregular Shapes
We introduce a new class of image features, the Ray feature set, that consider image characteristics at distant contour points, capturing information which is difficult to repre...
Kevin Smith, Alan Carleton, Vincent Lepetit
60
Voted
WSCG
2004
152views more  WSCG 2004»
14 years 11 months ago
Detection of Collisions and Self-collisions Using Image-space Techniques
Image-space techniques have shown to be very efficient for collision detection in dynamic simulation and animation environments. This paper proposes a new image-space technique for...
Bruno Heidelberger, Matthias Teschner, Markus H. G...
ICCV
2005
IEEE
15 years 11 months ago
Building a Classification Cascade for Visual Identification from One Example
Object identification (OID) is specialized recognition where the category is known (e.g. cars) and the algorithm recognizes an object's exact identity (e.g. Bob's BMW). ...
Andras Ferencz, Erik G. Learned-Miller, Jitendra M...
VISUALIZATION
1998
IEEE
15 years 1 months ago
Eliminating popping artifacts in sheet buffer-based splatting
Splatting is a fast volume rendering algorithm which achieves its speed by projecting voxels in the form of pre-integrated interpolation kernels, or splats. Presently, two main va...
Klaus Mueller, Roger Crawfis
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