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» Estimating Camera Motion through a 3D Cluttered Scene
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3DPVT
2002
IEEE
109views Visualization» more  3DPVT 2002»
13 years 11 months ago
A Hierarchy of Cameras for 3D Photography
We investigate the relationship between camera design and 3D photography, by examining the influence of camera design on the estimation of the motion and structure of a scene fro...
Jan Neumann, Cornelia Fermüller, Yiannis Aloi...
CVPR
2010
IEEE
1351views Computer Vision» more  CVPR 2010»
14 years 2 months ago
Live Dense Reconstruction with a Single Moving Camera
We present a method which enables rapid and dense reconstruction of scenes browsed by a single live camera. We take point-based real-time structure from motion (SFM) as our starti...
Richard Newcombe, Andrew Davison
ICCV
2003
IEEE
14 years 8 months ago
Variational Stereovision and 3D Scene Flow Estimation with Statistical Similarity Measures
We present a common variational framework for dense depth recovery and dense three-dimensional motion field estimation from multiple video sequences, which is robust to camera spe...
Jean-Philippe Pons, Renaud Keriven, Olivier D. Fau...
VMV
2001
147views Visualization» more  VMV 2001»
13 years 7 months ago
Model-based 3-D Shape and Motion Estimation Using Sliding Textures
Given an accurate 3-D shape model of a scene, the motion parameters of a moving camera can be recovered with high accuracy using model-based motion estimation techniques. Shape er...
Eckehard G. Steinbach, Peter Eisert, Bernd Girod
FGR
2011
IEEE
176views Biometrics» more  FGR 2011»
12 years 9 months ago
Prop-free pointing detection in dynamic cluttered environments
Abstract—Vision-based prop-free pointing detection is challenging both from an algorithmic and a systems standpoint. From a computer vision perspective, accurately determining wh...
Pyry Matikainen, Padmanabhan Pillai, Lily B. Mumme...