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» Using Top-Points as Interest Points for Image Matching
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144
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ICCV
2009
IEEE
16 years 8 months ago
Scene Categorization from Low Definition Video
In this paper we present a new method for categorizing video sequences capturing different scene classes. This can be seen as a generalization of previous work on scene classific...
Paritosh Gupta, Sai Sankalp Arrabolu, Mathew Brown...
152
Voted
RAS
2010
142views more  RAS 2010»
15 years 2 months ago
Closing the loop in appearance-guided omnidirectional visual odometry by using vocabulary trees
In this paper, we present a method that allows us to recover the trajectory of a vehicle purely from monocular omnidirectional images very accurately. The method uses a combination...
Davide Scaramuzza, Friedrich Fraundorfer, Marc Pol...
166
Voted
CVPR
2012
IEEE
13 years 6 months ago
Using scene features to improve wide-area video surveillance
We introduce two novel methods to improve the performance of wide area video surveillance applications by using scene features. First, we evaluate the drift in intrinsic and extri...
Ziyan Wu, Richard J. Radke
143
Voted
ICIP
2008
IEEE
16 years 5 months ago
Super-resolution of video using key frames and motion estimation
Many scalable video coding systems use frame downsampling in order to reduce complexity and to enable enhancement layers. Super-resolution (SR) can be used to help the up-sampling...
Fernanda Brandi, Ricardo L. de Queiroz, Debargha M...
135
Voted
FGR
2006
IEEE
157views Biometrics» more  FGR 2006»
15 years 9 months ago
Morphable Face Reconstruction with Multiple Images
Efficient 3D face reconstruction is very important for face animation and recognition. The slow speed of the 3D morphable model is due to the texture mapping. To improve the spee...
Ming Zhao 0003, Tat-Seng Chua, Terence Sim