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» Removing Shadows from Images
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131
Voted
CRV
2005
IEEE
182views Robotics» more  CRV 2005»
15 years 9 months ago
Using Vanishing Points To Correct Camera Rotation In Images
Vanishing points provide valuable information regarding the camera model used to capture an image. To explore the relationship between classes of camera models and the location of...
Andrew C. Gallagher
101
Voted
WACV
2008
IEEE
15 years 10 months ago
Tracking and Segmentation of Highway Vehicles in Cluttered and Crowded Scenes
Monitoring highway traffic is an important application of computer vision research. In this paper, we analyze congested highway situations where it is difficult to track individ...
Goo Jun, J. K. Aggarwal, Muhittin Gökmen
141
Voted
CVPR
2010
IEEE
15 years 11 months ago
Non-uniform Deblurring for Shaken Images
Blur from camera shake is mostly due to the 3D rotation of the camera, resulting in a blur kernel that can be significantly non-uniform across the image. However, most current de...
Oliver Whyte, Josef Sivic, Andrew Zisserman, Jean ...
170
Voted
ICIP
2010
IEEE
15 years 1 months ago
Anisotropic diffusion-based detail-preserving smoothing for image restoration
It is important in image restoration to remove noise while preserving meaningful detail such as blurred thin edges and low-contrast fine features. The existing edgepreserving smoo...
Shin-Min Chao, Du-Ming Tsai, Wei-Yao Chiu, Wei-Che...
169
Voted
MM
2003
ACM
239views Multimedia» more  MM 2003»
15 years 8 months ago
Foreground object detection from videos containing complex background
This paper proposes a novel method for detection and segmentation of foreground objects from a video which contains both stationary and moving background objects and undergoes bot...
Liyuan Li, Weimin Huang, Irene Y. H. Gu, Qi Tian