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» Bayesian structure from motion using inertial information
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ICCV
2007
IEEE
15 years 4 months ago
Fast Automatic Heart Chamber Segmentation from 3D CT Data Using Marginal Space Learning and Steerable Features
Multi-chamber heart segmentation is a prerequisite for global quantification of the cardiac function. The complexity of cardiac anatomy, poor contrast, noise or motion artifacts ...
Yefeng Zheng, Adrian Barbu, Bogdan Georgescu, Mich...
ICCV
2003
IEEE
15 years 11 months ago
Real-Time Simultaneous Localisation and Mapping with a Single Camera
Ego-motion estimation for an agile single camera moving through general, unknown scenes becomes a much more challenging problem when real-time performance is required rather than ...
Andrew J. Davison
ICIP
2002
IEEE
15 years 11 months ago
Video indexing by motion activity maps
Motion based video indexing is an important and active research area in content-based video retrieval. It explores the dynamic characteristics of video content and provides techni...
Wei Zeng, Wen Gao, Debin Zhao
ICMCS
1999
IEEE
117views Multimedia» more  ICMCS 1999»
15 years 2 months ago
VHS to VRML: 3D Graphical Models from Video Sequences
Abstract-- We describe a method to completely automatically recover 3D scene structure together with a camera for each frame from a sequence of images acquired by an unknown camera...
Andrew Zisserman, Andrew W. Fitzgibbon, Geoffrey C...
CVPR
2010
IEEE
15 years 6 months ago
Scalable Active Matching
In matching tasks in computer vision, and particularly in real-time tracking from video, there are generally strong priors available on absolute and relative correspondence locati...
Ankur Handa, Margarita Chli, Hauke Strasdat, Andre...