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IJPRAI
2008
144views more  IJPRAI 2008»
14 years 12 months ago
Unsupervised Learning of a Hierarchy of Topological Maps Using Omnidirectional Images
unsupervised construction of topological maps, which provide an abstraction of the environment in terms of visual aspects. An unsupervised clustering algorithm is used to represent...
Ales Stimec, Matjaz Jogan, Ales Leonardis
IROS
2009
IEEE
207views Robotics» more  IROS 2009»
15 years 6 months ago
Estimation of camera motion with feature flow model for 3D environment modeling by using omni-directional camera
Abstract— Map information is important for path planning and self-localization when mobile robots accomplish autonomous tasks. In unknown environments, mobile robots should gener...
Ryosuke Kawanishi, Atsushi Yamashita, Toru Kaneko
CVPR
2008
IEEE
15 years 6 months ago
Global data association for multi-object tracking using network flows
We propose a network flow based optimization method for data association needed for multiple object tracking. The maximum-a-posteriori (MAP) data association problem is mapped in...
Li Zhang, Yuan Li, Ramakant Nevatia
ISMVL
2000
IEEE
64views Hardware» more  ISMVL 2000»
15 years 4 months ago
Properties of Independent Components of Self-Motion Optical Flow
In this paper we describe the properties of independent components of optical ow of moving objects. Video sequences of objects seen by an observer moving at various angles, direct...
Marwan A. Jabri, Ki-Young Park, Soo-Young Lee, Ter...
ICCV
1998
IEEE
15 years 4 months ago
A Maximum-Flow Formulation of the N-Camera Stereo Correspondence Problem
This paper describes a new algorithm for solving the N-camera stereo correspondence problem by transforming it into a maximum- ow problem. Once solved, the minimum-cut associated ...
Sébastien Roy, Ingemar J. Cox