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» Estimating Missing Data in Data Streams
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NIPS
2003
13 years 11 months ago
Learning Non-Rigid 3D Shape from 2D Motion
This paper presents an algorithm for learning the time-varying shape of a non-rigid 3D object from uncalibrated 2D tracking data. We model shape motion as a rigid component (rotat...
Lorenzo Torresani, Aaron Hertzmann, Christoph Breg...
ICIP
2003
IEEE
14 years 11 months ago
A Bayesian framework for recursive object removal in movie post-production
Some of the most convincing film and video effects are created in digital post-production by removing apparatus that supports or manipulates actors and objects. Wires and people, ...
Anil C. Kokaram, Bill Collis, Simon Robinson
SIGMOD
2008
ACM
164views Database» more  SIGMOD 2008»
14 years 10 months ago
Finding frequent items in probabilistic data
Computing statistical information on probabilistic data has attracted a lot of attention recently, as the data generated from a wide range of data sources are inherently fuzzy or ...
Qin Zhang, Feifei Li, Ke Yi
SOSP
2003
ACM
14 years 6 months ago
Bullet: high bandwidth data dissemination using an overlay mesh
In recent years, overlay networks have become an effective alternative to IP multicast for efficient point to multipoint communication across the Internet. Typically, nodes self-...
Dejan Kostic, Adolfo Rodriguez, Jeannie R. Albrech...
CVIU
2010
130views more  CVIU 2010»
13 years 10 months ago
Discrete camera calibration from pixel streams
We consider the problem of estimating the relative orientation of a number of individual photocells -or pixels- that hold fixed relative positions. The photocells measure the inte...
Etienne Grossmann, José António Gasp...