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» Model Based Tracking on 3D Objects
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VMV
2008
116views Visualization» more  VMV 2008»
15 years 4 months ago
A GPU-accelerated particle filter with pixel-level likelihood
We present in this paper a GPU-accelerated particle filter based on pixel-level segmentation and matching, for real-time object tracking. The proposed method achieves real-time pe...
Claus Lenz, Giorgio Panin, Alois Knoll
158
Voted
TOG
2012
206views Communications» more  TOG 2012»
13 years 5 months ago
Beady: interactive beadwork design and construction
We introduce the interactive system “Beady” to assist the design and construction of customized 3D beadwork. The user first creates a polygonal mesh model called the design m...
Yuki Igarashi, Takeo Igarashi, Jun Mitani
196
Voted
CVPR
2012
IEEE
13 years 5 months ago
A learning-based framework for depth ordering
Depth ordering is instrumental for understanding the 3D geometry of an image. We as humans are surprisingly good ordering even with abstract 2D line drawings. In this paper we pro...
Zhaoyin Jia, Andrew C. Gallagher, Yao-Jen Chang, T...
142
Voted
TSP
2011
197views more  TSP 2011»
14 years 9 months ago
Group Object Structure and State Estimation With Evolving Networks and Monte Carlo Methods
—This paper proposes a technique for motion estimation of groups of targets based on evolving graph networks. The main novelty over alternative group tracking techniques stems fr...
Amadou Gning, Lyudmila Mihaylova, Simon Maskell, S...
138
Voted
ECCV
1992
Springer
15 years 6 months ago
Data and Model-Driven Selection using Color Regions
A key problem in model-based object recognition is selection, namely, the problem of determining which regions in the image are likely to come from a single object. In this paper w...
Tanveer Fathima Syeda-Mahmood