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FDL
2006
IEEE
14 years 4 months ago
Functional Virtual Prototyping Design Flow and VHDL-AMS
Needs in the worldwide competition push teams to master more and more their design flow in order to minimize risks, costs, time to market, and potential liabilities. The classical...
Yannick Hervé, Patricia Desgreys
IJCV
2000
230views more  IJCV 2000»
13 years 10 months ago
Design and Use of Linear Models for Image Motion Analysis
Linear parameterized models of optical flow, particularly affine models, have become widespread in image motion analysis. The linear model coefficients are straightforward to estim...
David J. Fleet, Michael J. Black, Yaser Yacoob, Al...
CVPR
2010
IEEE
14 years 6 months ago
Unsupervised Learning of Invariant Features Using Video
We present an algorithm that learns invariant features from real data in an entirely unsupervised fashion. The principal benefit of our method is that it can be applied without hu...
David Stavens, Sebastian Thrun
IROS
2006
IEEE
127views Robotics» more  IROS 2006»
14 years 4 months ago
Learning Predictive Features in Affordance based Robotic Perception Systems
This work is about the relevance of Gibson’s concept of affordances [1] for visual perception in interactive and autonomous robotic systems. In extension to existing functional ...
Gerald Fritz, Lucas Paletta, Ralph Breithaupt, Eri...
ICCV
2003
IEEE
15 years 5 days ago
A Sparse Probabilistic Learning Algorithm for Real-Time Tracking
This paper addresses the problem of applying powerful pattern recognition algorithms based on kernels to efficient visual tracking. Recently Avidan [1] has shown that object recog...
Oliver M. C. Williams, Andrew Blake, Roberto Cipol...