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» Structure From Motion Using Sequential Monte Carlo Methods
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CVPR
1999
IEEE
14 years 9 months ago
An Efficient Recursive Factorization Method for Determining Structure from Motion
A recursive method is presented for recovering 3D object shape and camera motion under orthography from an extended sequence of video images. This may be viewed as a natural exten...
Yanhua Li, Michael J. Brooks
ISBI
2004
IEEE
14 years 8 months ago
Nanoparticle-Enhanced Proton Computed Tomography: A Monte Carlo Simulation Study
Proton computed tomography (pCT) has the potential to improve the accuracy of proton treatment planning, which is currently based on x-ray computed tomography (xCT). However, at t...
Reinhard Schulte, Vladimir Bashkirov, David Willia...
BMCBI
2004
177views more  BMCBI 2004»
13 years 7 months ago
Gapped alignment of protein sequence motifs through Monte Carlo optimization of a hidden Markov model
Background: Certain protein families are highly conserved across distantly related organisms and belong to large and functionally diverse superfamilies. The patterns of conservati...
Andrew F. Neuwald, Jun S. Liu
ICMCS
2007
IEEE
191views Multimedia» more  ICMCS 2007»
14 years 1 months ago
Variable Number of "Informative" Particles for Object Tracking
Particle filter is a sequential Monte Carlo method for object tracking in a recursive Bayesian filtering framework. The efficiency and accuracy of the particle filter depends on t...
Yu Huang, Joan Llach
ICPR
2008
IEEE
14 years 2 months ago
Structure from Motion: Combining features correspondences and optical flow
This paper suggests using discrete feature displacements and optical flow simultaneously to determine the camera motion and its velocity. This is advantageous when the number of ...
Adel H. Fakih, John Zelek