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» Recognition of Parametrised Models from 3D Data
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CVPR
2009
IEEE
16 years 8 months ago
From Structure-from-Motion Point Clouds to Fast Location Recognition
Efficient view registration with respect to a given 3D reconstruction has many applications like inside-out tracking in indoor and outdoor environments, and geo-locating images ...
Arnold Irschara (Graz University of Technology), C...
GLOBECOM
2006
IEEE
15 years 7 months ago
Cluster-Based MIMO Channel Model Parameters Extracted from Indoor Time-Variant Measurements
— This paper presents a complete solution to the problem of how to parametrise cluster-based stochastic MIMO channel models from measurement data, with minimum user intervention....
Nicolai Czink, Ernst Bonek, Lassi Hentila, Jukka-P...
ICIP
2009
IEEE
14 years 11 months ago
Robust extraction of urinary stones from CT data using attribute filters
In medical imaging, anatomical and other structures such as urinary stones, are often extracted with the aid of active contour/surface models. Active surface-based methods have ro...
Georgios K. Ouzounis, Stilianos Giannakopoulos, Co...
ECCV
2008
Springer
16 years 3 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...
ICIP
2009
IEEE
16 years 2 months ago
Multi-modal Ear And Face Modeling And Recognition
In this paper we describe a multi-modal ear and face biometric system. The system is comprised of two components: a 3D ear recognition component and a 2D face recognition componen...