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» A new method for camera motion parameter estimation
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HUMO
2007
Springer
13 years 11 months ago
Gradient-Enhanced Particle Filter for Vision-Based Motion Capture
Tracking of rigid and articulated objects is usually addressed within a particle filter framework or by correspondence based gradient descent methods. We combine both methods, suc...
Daniel Grest, Volker Krüger
DPHOTO
2010
148views Hardware» more  DPHOTO 2010»
13 years 10 months ago
On pixel detection threshold in the gigavision camera
Recently, we have proposed a new image device called gigavision camera whose most important characteristic is that pixels have binary response. The response function of a gigavisi...
Feng Yang, Luciano Sbaiz, Edoardo Charbon, Sabine ...
ICIP
1999
IEEE
14 years 1 months ago
Real-Time Image Mosaicing from a Video Sequence
This paper describes a fast and robust image registration method that can be used to create a panoramic image/video from video sequences. To estimate alignment parameters for imag...
Masakatsu Kourogi, Takeshi Kurata, Junichi Hoshino...
SIGPRO
2002
58views more  SIGPRO 2002»
13 years 8 months ago
A HMM approach to the estimation of random trajectories on manifolds
Dynamic image analysis requires the estimation of time-varying model parameters (e.g., shape coe cients). This can be11 seen as states of a dynamic model which are restricted to a...
Jorge S. Marques, João Miranda Lemos, Arnal...
CVPR
2005
IEEE
14 years 2 months ago
Linear Combination Representation for Outlier Detection in Motion Tracking
In this paper we show that Ullman and Basri’s linear combination (LC) representation, which was originally proposed for alignment-based object recognition, can be used for outli...
Guodong Guo, Charles R. Dyer, Zhengyou Zhang