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IJRR
2011
210views more  IJRR 2011»
14 years 9 months ago
Visual-Inertial Sensor Fusion: Localization, Mapping and Sensor-to-Sensor Self-calibration
Visual and inertial sensors, in combination, are able to provide accurate motion estimates and are well-suited for use in many robot navigation tasks. However, correct data fusion...
Jonathan Kelly, Gaurav S. Sukhatme
MICCAI
2005
Springer
16 years 2 months ago
Respiratory Signal Extraction for 4D CT Imaging of the Thorax from Cone-Beam CT Projections
Current methods of four-dimensional (4D) CT imaging of the thorax synchronise the acquisition with a respiratory signal to restrospectively sort acquired data. The quality of the 4...
Simon Rit, David Sarrut, Chantal Ginestet
NIPS
2004
15 years 3 months ago
Constraining a Bayesian Model of Human Visual Speed Perception
It has been demonstrated that basic aspects of human visual motion perception are qualitatively consistent with a Bayesian estimation framework, where the prior probability distri...
Alan Stocker, Eero P. Simoncelli
CRV
2005
IEEE
181views Robotics» more  CRV 2005»
15 years 7 months ago
New Multi-baseline Stereo by Counting Interest Points
This paper proposes a novel method for estimating depth from a long image sequence captured by a moving camera. Our idea for estimating a depth map is very simple; only counting i...
Tomokazu Sato, Naokazu Yokoya
ICRA
2006
IEEE
110views Robotics» more  ICRA 2006»
15 years 8 months ago
Integration of Visual and Inertial Information for Egomotion: a Stochastic Approach
— We present a probabilistic framework for visual correspondence, inertial measurements and Egomotion. First, we describe a simple method based on Gabor filters to produce corre...
Justin Domke, Yiannis Aloimonos