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ICRA
2010
IEEE
145views Robotics» more  ICRA 2010»
15 years 4 months ago
Unsupervised discovery of repetitive objects
We present a novel approach for unsupervised discovery of repetitive objects from 3D point clouds. Our method assumes that objects are geometrically consistent, and uses multiple o...
Jiwon Shin, Rudolph Triebel, Roland Siegwart
ICIP
2007
IEEE
16 years 8 months ago
Content Adaptive Heterogeneous Snakes
Active contour (snake) approaches have been proved to be efficient tools to extract object boundary precisely. One drawback of these methods is that state-of-the-art snake algorit...
András Hajdu, Ioannis Pitas
IROS
2007
IEEE
157views Robotics» more  IROS 2007»
16 years 23 days ago
A spatio-temporal probabilistic model for multi-sensor object recognition
— This paper presents a general framework for multi-sensor object recognition through a discriminative probabilistic approach modelling spatial and temporal correlations. The alg...
Bertrand Douillard, Dieter Fox, Fabio T. Ramos
HUMO
2007
Springer
16 years 19 days ago
Silhouette Based Generic Model Adaptation for Marker-Less Motion Capturing
This work presents a marker-less motion capture system that incorporates an approach to smoothly adapt a generic model mesh to the individual shape of a tracked person. This is don...
Martin Sunkel, Bodo Rosenhahn, Hans-Peter Seidel
CVIU
1999
238views more  CVIU 1999»
15 years 6 months ago
A Coarse to Fine 3D Registration Method Based on Robust Fuzzy Clustering
An important problem in computer vision is to determine how features extracted from images are connected to an existing model. In this paper, we focus on solving the registration ...
Jean-Philippe Tarel, Nozha Boujemaa