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3DIM
2007
IEEE
14 years 5 months ago
Automatic Pose Estimation for Range Images on the GPU
Object pose (location and orientation) estimation is a common task in many computer vision applications. Although many methods exist, most algorithms need manual initialization ...
Marcel Germann, Michael D. Breitenstein, In Kyu Pa...
ICRA
2003
IEEE
169views Robotics» more  ICRA 2003»
13 years 10 months ago
Robust model-based 3D object recognition by combining feature matching with tracking
− We propose a vision based 3D object recognition and tracking system, which provides high level scene descriptions such as object identification and 3D pose information. The sys...
Sungho Kim, In-So Kweon, Incheol Kim
CVPR
2012
IEEE
11 years 8 months ago
Semantic structure from motion with points, regions, and objects
Structure from motion (SFM) aims at jointly recovering the structure of a scene as a collection of 3D points and estimating the camera poses from a number of input images. In this...
Sid Ying-Ze Bao, Mohit Bagra, Yu-Wei Chao, Silvio ...
ICCV
2009
IEEE
14 years 10 months ago
Subspace matching: Unique solutions to point matching with geometric constraints
Finding correspondences between feature points is one of the most relevant problems in the whole set of visual tasks. In this paper we address the problem of matching a feature ...
Manuel Marques, Marko Stosic and Joao Costeira
ECCV
2006
Springer
14 years 7 months ago
Feature Harvesting for Tracking-by-Detection
We propose a fast approach to 3?D object detection and pose estimation that owes its robustness to a training phase during which the target object slowly moves with respect to the ...
Mustafa Özuysal, Vincent Lepetit, Franç...