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» Sparse appearance based modeling for robot localization
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ICIP
2007
IEEE
14 years 9 months ago
Statistically Driven Sparse Image Approximation
Finding the sparsest approximation of an image as a sum of basis functions drawn from a redundant dictionary is an NPhard problem. In the case of a dictionary whose elements form ...
Rosa M. Figueras i Ventura, Eero P. Simoncelli
ICPR
2008
IEEE
14 years 9 months ago
Phase based level set segmentation of blood vessels
The segmentation and analysis of blood vessels has received much attention in the research community. The results aid numerous applications for diagnosis and treatment of vascular...
Gunnar Läthén, Jimmy Jonasson, Magnus ...
IROS
2008
IEEE
123views Robotics» more  IROS 2008»
14 years 2 months ago
Learning predictive terrain models for legged robot locomotion
— Legged robots require accurate models of their environment in order to plan and execute paths. We present a probabilistic technique based on Gaussian processes that allows terr...
Christian Plagemann, Sebastian Mischke, Sam Prenti...
RAS
2007
113views more  RAS 2007»
13 years 7 months ago
From images to rooms
In this paper we start from a set of images obtained by the robot that is moving around in an environment. We present a method to automatically group the images into groups that c...
Zoran Zivkovic, Olaf Booij, Ben J. A. Kröse
ROBOTICA
2006
133views more  ROBOTICA 2006»
13 years 7 months ago
WiFi localization methods for autonomous robots
This paper compares two methods to estimate the position of a mobile robot in an indoor environment using only odometric calculus and the WiFi energy received from the wireless co...
Vicente Matellán Olivera, José Mar&i...