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ICPR
2000
IEEE
14 years 15 days ago
MRF Solutions for Probabilistic Optical Flow Formulations
In this paper we propose an efficient, non-iterative method for estimating optical flow. We develop a probabilistic framework that is appropriate for describing the inherent uncer...
Sébastien Roy, Venu Govindu
DCOSS
2006
Springer
14 years 18 days ago
Gappa: Gossip Based Multi-channel Reprogramming for Sensor Networks
Abstract. Reprogramming the sensor networks in place is an important and challenging problem. One way suggested for reprogramming is with the help of an UAV (Unmanned Ariel Vehicle...
Limin Wang, Sandeep S. Kulkarni
CVPR
2010
IEEE
14 years 3 months ago
Variational Segmentation of Volumetric Elongated Objects
We present an interactive approach for segmenting thin volumetric structures. The proposed segmentation model is based on an anisotropic weighted Total Variation energy with a glob...
Christian Reinbacher, Thomas Pock, Christian Bauer...
CVPR
2004
IEEE
14 years 11 months ago
Incremental Density Approximation and Kernel-Based Bayesian Filtering for Object Tracking
Statistical density estimation techniques are used in many computer vision applications such as object tracking, background subtraction, motion estimation and segmentation. The pa...
Bohyung Han, Dorin Comaniciu, Ying Zhu, Larry S. D...
ICRA
2009
IEEE
218views Robotics» more  ICRA 2009»
13 years 6 months ago
Automatically and efficiently inferring the hierarchical structure of visual maps
In Simultaneous Localisation and Mapping (SLAM), it is well known that probabilistic filtering approaches which aim to estimate the robot and map state sequentially suffer from poo...
Margarita Chli, Andrew J. Davison