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» Automatic feature localisation with constrained local models
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PR
2008
218views more  PR 2008»
13 years 5 months ago
Automatic feature localisation with constrained local models
We present an efficient and robust method of locating a set of feature points in an object of interest. From a training set we construct a joint model of the appearance of each fe...
David Cristinacce, Timothy F. Cootes

Publication
336views
11 years 9 months ago
Feature Mining for Localised Crowd Counting
This paper presents a multi-output regression model for crowd counting in public scenes. Existing counting by regression methods either learn a single model for global counting, or...
Ke Chen, Chen Change Loy, Shaogang Gong, Tao Xiang...
ICCV
2007
IEEE
14 years 7 months ago
Object Localisation Using Generative Probability Model for Spatial Constellation and Local Image Features
In this paper we apply state-of-the-art approach to object detection and localisation by incorporating local descriptors and their spatial configuration into a generative probabil...
Joni-Kristian Kamarainen, Miroslav Hamouz, Josef K...
ICRA
2002
IEEE
135views Robotics» more  ICRA 2002»
13 years 10 months ago
Towards Multi-Vehicle Simultaneous Localisation and Mapping
This paper presents a novel approach to the multi-vehicle Simultaneous Localisation and Mapping (SLAM) problem that exploits the manner in which observations are fused into the gl...
Stefan B. Williams, Gamini Dissanayake, Hugh F. Du...
CVPR
2001
IEEE
14 years 7 months ago
3D Simultaneous Localisation and Map-Building Using Active Vision for a Robot Moving on Undulating Terrain
Work in simultaneous localisation and map-building ("SLAM") for mobile robots has focused on the simplified case in which a robot is considered to move in two dimensions...
Andrew J. Davison, Nobuyuki Kita