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» Recognition of Parametrised Models from 3D Data
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PAMI
2006
196views more  PAMI 2006»
15 years 1 months ago
Three-Dimensional Model-Based Object Recognition and Segmentation in Cluttered Scenes
Viewpoint independent recognition of free-form objects and their segmentation in the presence of clutter and occlusions is a challenging task. We present a novel 3D model-based alg...
Ajmal S. Mian, Mohammed Bennamoun, Robyn A. Owens
ICPR
2002
IEEE
15 years 6 months ago
3D Reconstruction of Indoor and Outdoor Scenes Using a Mobile Range Scanner
This paper describes 3D mapping of indoor and outdoor environment using a mobile range scanner. In the raw range data preprocessing stage, we propose to use area decreasing flow ...
Yiyong Sun, Joon Ki Paik, Andreas Koschan, Mongi A...
VMV
2001
147views Visualization» more  VMV 2001»
15 years 2 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
ECCV
2006
Springer
15 years 5 months ago
Robust 3D Segmentation of Multiple Moving Objects Under Weak Perspective
A scene containing multiple independently moving, possibly occluding, rigid objects is considered under the weak perspective camera model. We obtain a set of feature points tracke...
Levente Hajder, Dmitry Chetverikov
ECCV
2006
Springer
16 years 3 months ago
Super-Resolution of 3D Face
Abstract. Super-resolution is a technique to restore the detailed information from the degenerated data. Lots of previous work is for 2D images while super-resolution of 3D models ...
Gang Pan, Shi Han, Zhaohui Wu, Yueming Wang