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IBPRIA
2005
Springer
14 years 28 days ago
Monte Carlo Localization Using SIFT Features
The ability of finding its situation in a given environment is crucial for an autonomous agent. While navigating through a space, a mobile robot must be capable of finding its lo...
Arturo Gil, Óscar Reinoso, Maria Asunci&oac...
IROS
2007
IEEE
162views Robotics» more  IROS 2007»
14 years 1 months ago
Where is your dive buddy: tracking humans underwater using spatio-temporal features
— We present an algorithm for underwater robots to track mobile targets, and specifically human divers, by detecting periodic motion. Periodic motion is typically associated wit...
Junaed Sattar, Gregory Dudek
TFS
2008
93views more  TFS 2008»
13 years 7 months ago
Using Fuzzy Logic to Design Separation Function in Flocking Algorithms
Abstract--Flocking algorithms essentially consist of three components: alignment, cohesion, and separation. To track a desired trajectory, the flock center should move along the de...
Dongbing Gu, Huosheng Hu
ISMAR
2009
IEEE
14 years 2 months ago
Mobile augmented reality based 3D snapshots
: In this paper, we present a mobile augmented reality application that is based on the acquisition of user-generated content obtained by 3D snapshotting. To take a 3D snapshot of ...
Peter Keitler, Frieder Pankratz, Björn Schwer...
ICRA
2008
IEEE
297views Robotics» more  ICRA 2008»
14 years 1 months ago
Fast 3D reconstruction of human shape and motion tracking by parallel fast level set method
— This paper presents a parallel algorithm of the Level Set Method named the Parallel Fast Level Set Method, and its application for real-time 3D reconstruction of human shape an...
Yumi Iwashita, Ryo Kurazume, Kenji Hara, Seiichi U...