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ECCV
2002
Springer
1127views Computer Vision» more  ECCV 2002»
14 years 10 months ago
Removing Shadows from Images
Illumination conditions cause problems for many computer vision algorithms. Inparticular, shadows in an image can cause segmentation, tracking, or recognition algorithms to fail. I...
Graham D. Finlayson, Steven D. Hordley, Mark S. Dr...
BMVC
2010
13 years 6 months ago
Improving object classification using semantic attributes
This paper shows how semantic attribute features can be used to improve object classification performance. The semantic attributes used fall into five groups: scene (e.g. `road�...
Yu Su, Moray Allan, Frédéric Jurie
ACCV
2007
Springer
14 years 2 months ago
Less Is More: Coded Computational Photography
Computational photography combines plentiful computing, digital sensors, modern optics, actuators, and smart lights to escape the limitations of traditional cameras, enables novel ...
Ramesh Raskar
ICIAR
2007
Springer
14 years 2 months ago
3D Reconstruction of Soccer Sequences Using Non-calibrated Video Cameras
We present a global approach that enables the production of 3D soccer sequences from non-calibrated video cameras. Our system can produce a 3D animated model of the scene from a si...
Sébastien Mavromatis, Paulo Dias, Jean Sequ...
CVPR
2000
IEEE
14 years 10 months ago
Cameras for Stereo Panoramic Imaging
A panorama for visual stereo consists of a pair of panoramic images, where one panorama is for the left eye, and another panorama is for the right eye. A panoramic stereo pair pro...
Shmuel Peleg, Yael Pritch, Moshe Ben-Ezra