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» Bayesian structure from motion using inertial information
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CVPR
2012
IEEE
13 years 4 days ago
We are not contortionists: Coupled adaptive learning for head and body orientation estimation in surveillance video
In this paper, we deal with the estimation of body and head poses (i.e orientations) in surveillance videos, and we make three main contributions. First, we address this issue as ...
Cheng Chen, Jean-Marc Odobez
ICVS
1999
Springer
15 years 2 months ago
Ascender II, a Visual Framework for 3D Reconstruction
This paper presents interim results from an ongoing project on aerial image reconstruction. One important task in image interpretation is the process of understanding and identifyi...
Maurício Marengoni, Christopher O. Jaynes, ...
ICCV
2011
IEEE
13 years 9 months ago
Superpixel Tracking
While numerous algorithms have been proposed for object tracking with demonstrated success, it remains a challenging problem for a tracker to handle large change in scale, motion,...
Shu Wang, Huchuan Lu, Fan Yang, Ming-Hsuan Yang
CORR
2010
Springer
103views Education» more  CORR 2010»
14 years 8 months ago
BioBlender: a Software for Intuitive Representation of Surface Properties of Biomolecules
In this and the associated article BioBlender: A Software for Intuitive Representation of Surface Properties of Biomolecules [1], we present BioBlender as a complete instrument fo...
Raluca Mihaela Andrei, Marco Callieri, Maria Franc...
CVPR
2004
IEEE
15 years 11 months ago
Error Analysis for a Navigation Algorithm Based on Optical-Flow and a Digital Terrain Map
This paper deals with the error analysis of a novel navigation algorithm that uses as input the sequence of images acquired from a moving camera and a Digital Terrain (or Elevatio...
Ehud Rivlin, Héctor Rotstein, Ronen Lerner