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» Computer modelling of fallen snow
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ECCV
2004
Springer
14 years 25 days ago
Novelty Detection in Image Sequences with Dynamic Background
Abstract. We propose a new scheme for novelty detection in image sequences capable of handling non-stationary background scenarious, such as waving trees, rain and snow. Novelty de...
Fredrik Kahl, Richard I. Hartley, Volker Hilsenste...
CGI
2001
IEEE
13 years 11 months ago
Modeling and Rendering of Various Natural Phenomena Consisting of Particles
The simulation of various natural phenomena is one of the important research fields in computer graphics. In particular, aspects such as sky, clouds, water, fire, trees, smoke, te...
Tomoyuki Nishita, Yoshinori Dobashi
CVPR
1999
IEEE
1071views Computer Vision» more  CVPR 1999»
14 years 9 months ago
Adaptive Background Mixture Models for Real-Time Tracking
A common method for real-time segmentation of moving regions in image sequences involves "background subtraction," or thresholding the error between an estimate of the i...
Chris Stauffer, W. Eric L. Grimson
CVPR
2003
IEEE
14 years 9 months ago
Probabilistic Spatial Context Models for Scene Content Understanding
Scene content understanding facilitates a large number of applications, ranging from content-based image retrieval to other multimedia applications. Material detection refers to t...
Amit Singhal, Jiebo Luo, Weiyu Zhu
ICCV
2003
IEEE
14 years 21 days ago
Modeling Textured Motion : Particle, Wave and Sketch
In this paper, we present a generative model for textured motion phenomena, such as falling snow, wavy river and dancing grass, etc. Firstly, we represent an image as a linear sup...
Yizhou Wang, Song Chun Zhu