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» Fundamental performance limits in image registration
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CVPR
2008
IEEE
15 years 12 months ago
Parameterized Kernel Principal Component Analysis: Theory and applications to supervised and unsupervised image alignment
Parameterized Appearance Models (PAMs) (e.g. eigentracking, active appearance models, morphable models) use Principal Component Analysis (PCA) to model the shape and appearance of...
Fernando De la Torre, Minh Hoai Nguyen

Publication
241views
14 years 11 months ago
Fast compositing for cluster-parallel rendering
The image compositing stages in cluster-parallel rendering for gathering and combining partial rendering results into a final display frame are fundamentally limited by node-to-nod...
Maxim Makhinya, Stefan Eilemann, Renato Pajarola
ICIP
2001
IEEE
15 years 11 months ago
All-phase motion compensated prediction in the wavelet domain for high performance video coding
This paper presents a novel framework of motion compensated pre&ction(MCP) techniques in the wavelet domain for high performance video coding. Our analysis reveals fundamental...
Xin Li, Louis Kerofsky, Shawmin Lei
MICCAI
2009
Springer
15 years 11 months ago
Prostate Biopsy Assistance System with Gland Deformation Estimation for Enhanced Precision
Computer-assisted prostate biopsies became a very active research area during the last years. Prostate tracking makes it possible to overcome several drawbacks of the current stand...
Michael Baumann, Pierre Mozer, Vincent Daanen, ...
BMVC
2010
14 years 7 months ago
Improved Anatomical Landmark Localization in Medical Images Using Dense Matching of Graphical Models
We propose a method for reliably and accurately identifying anatomical landmarks in 3D CT volumes based on dense matching of parts-based graphical models. Such a system can be use...
Vaclav Potesil, Timor Kadir, Günther Platsch,...