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» Using Top-Points as Interest Points for Image Matching
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CVPR
1998
IEEE
14 years 9 months ago
Comparing Images under Variable Illumination
We consider the problem of determining whether two images come from different objects or the same object in the same pose, but under different illumination conditions. We show tha...
David W. Jacobs, Peter N. Belhumeur, Ronen Basri
MVA
2010
254views Computer Vision» more  MVA 2010»
13 years 6 months ago
Gamma/X-ray linear pushbroom stereo for 3D cargo inspection
For evaluating the contents of trucks, containers, cargo, and passenger vehicles by a non-intrusive gamma-ray or X-ray imaging system to determine the possible presence of contrab...
Zhigang Zhu, Yu-Chi Hu, Li Zhao
ICB
2009
Springer
355views Biometrics» more  ICB 2009»
14 years 2 months ago
3D Signatures for Fast 3D Face Recognition
We propose a vector representation (called a 3D signature) for 3D face shape in biometrics applications. Elements of the vector correspond to fixed surface points in a face-centere...
Chris Boehnen, Tanya Peters, Patrick J. Flynn
GIS
2008
ACM
14 years 8 months ago
Low-cost orthographic imagery
Commercial aerial imagery websites, such as Google Maps, MapQuest, Microsoft Virtual Earth, and Yahoo! Maps, provide high- seamless orthographic imagery for many populated areas, ...
Peter Pesti, Jeremy Elson, Jon Howell, Drew Steedl...
AMDO
2004
Springer
14 years 1 months ago
Recognition and Tracking of the Members of a Moving Human Body
We present a method to solve the human silhouette tracking problem using 18 major human points. We used: a simple 2D model for the human silhouette, a linear prediction technique f...
Costas Panagiotakis, Georgios Tziritas