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» Creating Generative Models from Range Images
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ICIP
2004
IEEE
16 years 8 months ago
Rate-distortion analysis of random access for compressed light fields
Image-based rendering data sets, such as light fields, require efficient compression due to their large data size, but also easy random access when rendering from the data set. Ef...
Prashant Ramanathan, Bernd Girod
DGCI
2000
Springer
15 years 10 months ago
Deformable Modeling for Characterizing Biomedical Shape Changes
Abstract. We present a new algorithm for modeling and characterizing shape changes in 3D image sequences of biomedical structures. Our algorithm tracks the shape changes of the obj...
Matthieu Ferrant, Benoit M. Macq, Arya Nabavi, Sim...
PCI
2005
Springer
15 years 12 months ago
Unsupervised Learning of Multiple Aspects of Moving Objects from Video
A popular framework for the interpretation of image sequences is based on the layered model; see e.g. Wang and Adelson [8], Irani et al. [2]. Jojic and Frey [3] provide a generativ...
Michalis K. Titsias, Christopher K. I. Williams
CGF
2006
156views more  CGF 2006»
15 years 6 months ago
Semantic Photo Synthesis
Composite images are synthesized from existing photographs by artists who make concept art, e.g., storyboards for movies or architectural planning. Current techniques allow an art...
Matthew Johnson, Gabriel J. Brostow, Jamie Shotton...
ICIAP
2009
ACM
16 years 7 months ago
A New Generative Feature Set Based on Entropy Distance for Discriminative Classification
Abstract. Score functions induced by generative models extract fixeddimensions feature vectors from different-length data observations by subsuming the process of data generation, ...
Alessandro Perina, Marco Cristani, Umberto Castell...