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ICSC
1995
Springer
14 years 1 months ago
An Adaptive Supersampling Method
Original z-bu er method is a very ecient method for image generation. The limitation is that it introduces aliases into the output image. Although many di erent kinds of methods h...
Rynson W. H. Lau
AAAI
2000
13 years 11 months ago
Appearance-Based Obstacle Detection with Monocular Color Vision
This paper presents a new vision-based obstacle detection method for mobile robots. Each individual image pixel is classified as belonging either to an obstacle or the ground base...
Iwan Ulrich, Illah R. Nourbakhsh
ICASSP
2010
IEEE
13 years 10 months ago
Robust background modeling via standard variance feature
In this paper, a novel standard variance feature is proposed for background modeling in dynamic scenes involving waving trees and ripples in water. The standard variance feature i...
Bineng Zhong, Hongxun Yao, Shaohui Liu
ICIP
2010
IEEE
13 years 8 months ago
Fast pedestrian detection with multi-scale orientation features and two-stage classifiers
In this paper, we propose an approach for fast pedestrian detection in images. Inspired by the histogram of oriented gradient (HOG) features, a set of multi-scale orientation (MSO...
Qixiang Ye, Jianbin Jiao, Baochang Zhang
ECCV
2006
Springer
15 years 2 days ago
Unsupervised Patch-Based Image Regularization and Representation
A novel adaptive and patch-based approach is proposed for image regularization and representation. The method is unsupervised and based on a pointwise selection of small image patc...
Charles Kervrann, Jérôme Boulanger