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» Analysis on a Local Approach to 3D Object Recognition
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MVA
2007
216views Computer Vision» more  MVA 2007»
13 years 7 months ago
Pose estimation for objects with planar surfaces using eigenimage and range data analysis
In this paper we present a novel method for estimating the object pose for 3D objects with welldefined planar surfaces. Specifically, we investigate the feasibility of estimating...
Ovidiu Ghita, Paul F. Whelan, David Vernon, John M...
ICPR
2000
IEEE
14 years 3 days ago
Improving Appearance-Based Object Recognition in Cluttered Backgrounds
Appearance-based object recognition systems are currently the most successful approach for dealing with 3D recognition of arbitrary objects in the presence of clutter and occlusio...
Andrea Selinger, Randal C. Nelson
ECCV
2008
Springer
14 years 9 months ago
Segmentation and Recognition Using Structure from Motion Point Clouds
We propose an algorithm for semantic segmentation based on 3D point clouds derived from ego-motion. We motivate five simple cues designed to model specific patterns of motion and 3...
Gabriel J. Brostow, Jamie Shotton, Julien Fauqueur...
ICPR
2004
IEEE
14 years 8 months ago
Model Based Object Recognition by Robust Information Fusion
Given a set of 3D model features and their 2D image, model based object recognition determines the correspondences between those features and hence computes the pose of the object...
Haifeng Chen, Ilan Shimshoni, Peter Meer
DAGM
2008
Springer
13 years 9 months ago
Model-Based Motion Capture for Crash Test Video Analysis
Abstract. In this work, we propose a model-based approach for estimating the 3D position and orientation of a dummy's head for crash test video analysis. Instead of relying on...
Juergen Gall, Bodo Rosenhahn, Stefan Gehrig, Hans-...