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» View Reconstruction by Linear Combination of Sample Views
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DAGM
2009
Springer
13 years 8 months ago
Combined GKLT Feature Tracking and Reconstruction for Next Best View Planning
Abstract. Guided Kanade-Lucas-Tomasi (GKLT) tracking is a suitable way to incorporate knowledge about camera parameters into the standard KLT tracking approach for feature tracking...
Michael Trummer, Christoph Munkelt, Joachim Denzle...
CORR
2008
Springer
165views Education» more  CORR 2008»
13 years 11 months ago
Feature Selection By KDDA For SVM-Based MultiView Face Recognition
: Applications such as Face Recognition (FR) that deal with high-dimensional data need a mapping technique that introduces representation of low-dimensional features with enhanced ...
Seyyed Majid Valiollahzadeh, Abolghasem Sayadiyan,...
ICCV
2001
IEEE
15 years 23 days ago
Linear Multi View Reconstruction and Camera Recovery
This paper presents a linear algorithm for the simultaneous computation of 3D points and camera positions from multiple perspective views, based on having four points on a referen...
Carsten Rother, Stefan Carlsson
IJCV
2002
111views more  IJCV 2002»
13 years 10 months ago
Linear Multi View Reconstruction and Camera Recovery Using a Reference Plane
This paper presents a linear algorithm for simultaneous computation of 3D points and camera positions from multiple perspective views based on having a reference plane visible in a...
Carsten Rother, Stefan Carlsson
ICCV
2003
IEEE
15 years 23 days ago
Linear Multi-View Reconstruction of Points, Lines, Planes and Cameras using a Reference Plane
This paper presents a new linear method for reconstructing simultaneously 3D features (points, lines and planes) and cameras from many perspective views by solving a single linear...
Carsten Rother