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ESANN
2006
13 years 8 months ago
Adaptive Sensor Modelling and Classification using a Continuous Restricted Boltzmann Machine (CRBM)
A probabilistic, ``neural'' approach to sensor modelling and classification is described, performing local data fusion in a wireless system for embedded sensors using a ...
Tong Boon Tang, Alan F. Murray
CVPR
2009
IEEE
15 years 2 months ago
Joint Depth and Alpha Matte Optimization via Fusion of Stereo and Time-of-Flight Sensor
We present a new approach to iteratively estimate both high-quality depth map and alpha matte from a single image or a video sequence. Scene depth, which is invariant to illumin...
Jiejie Zhu (University of Kentucky), Miao Liao (Un...
TIP
2010
145views more  TIP 2010»
13 years 2 months ago
Joint Manifolds for Data Fusion
The emergence of low-cost sensing architectures for diverse modalities has made it possible to deploy sensor networks that capture a single event from a large number of vantage po...
Mark A. Davenport, Chinmay Hegde, Marco F. Duarte,...
ICRA
2007
IEEE
207views Robotics» more  ICRA 2007»
14 years 1 months ago
Accurate Motion Estimation and High-Precision 3D Reconstruction by Sensor Fusion
—The CCD camera and the 2D laser range finder are widely used for motion estimation and 3D reconstruction. With their own strengths and weaknesses, low-level fusion of these two ...
Yunsu Bok, Youngbae Hwang, In-So Kweon
IJCV
2002
133views more  IJCV 2002»
13 years 7 months ago
Probabilistic Tracking with Exemplars in a Metric Space
Abstract. A new, exemplar-based, probabilistic paradigm for visual tracking is presented. Probabilistic mechanisms are attractive because they handle fusion of information, especia...
Kentaro Toyama, Andrew Blake