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» Reconstructing 3D Pose and Motion from a Single Camera View
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PAMI
2006
173views more  PAMI 2006»
15 years 1 months ago
Structure from Motion with Wide Circular Field of View Cameras
This paper presents a method for fully automatic and robust estimation of two-view geometry, autocalibration, and 3D metric reconstruction from point correspondences in images take...
Branislav Micusík, Tomás Pajdla
134
Voted
CVPR
2008
IEEE
16 years 3 months ago
3D model matching with Viewpoint-Invariant Patches (VIP)
The robust alignment of images and scenes seen from widely different viewpoints is an important challenge for camera and scene reconstruction. This paper introduces a novel class ...
Changchang Wu, Brian Clipp, Xiaowei Li, Jan-Michae...
WACV
2005
IEEE
15 years 7 months ago
Multi-Scale 3D Scene Flow from Binocular Stereo Sequences
Scene flow methods estimate the three-dimensional motion field for points in the world, using multi-camera video data. Such methods combine multi-view reconstruction with motion...
Rui Li, Stan Sclaroff
213
Voted
3DPVT
2006
IEEE
295views Visualization» more  3DPVT 2006»
15 years 3 months ago
Efficient Sparse 3D Reconstruction by Space Sweeping
This paper introduces a feature based method for the fast generation of sparse 3D point clouds from multiple images with known pose. We extract sub-pixel edge elements (2D positio...
Joachim Bauer, Christopher Zach, Horst Bischof
PAMI
2006
202views more  PAMI 2006»
15 years 1 months ago
Pose and Motion Recovery from Feature Correspondences and a Digital Terrain Map
A novel algorithm for pose and motion estimation using corresponding features and a Digital Terrain Map is proposed. Using a Digital Terrain (or Digital Elevation) Map (DTM/DEM) as...
Ronen Lerner, Ehud Rivlin, Héctor Rotstein