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» Fast adaptive algorithms for abrupt change detection
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CVPR
2009
IEEE
15 years 2 months ago
Tracking of Cell Populations to Understand their Spatio-Temporal Behavior in Response to Physical Stimuli
We have developed methods for segmentation and tracking of cells in time-lapse phase-contrast microscopy images. Our multi-object Bayesian algorithm detects and tracks large num...
David House, Matthew Walker, Zheng Wu, Joyce Wong,...
3DIM
2007
IEEE
14 years 8 months ago
Automatic Pose Estimation for Range Images on the GPU
Object pose (location and orientation) estimation is a common task in many computer vision applications. Although many methods exist, most algorithms need manual initialization ...
Marcel Germann, Michael D. Breitenstein, In Kyu Pa...

Publication
364views
14 years 2 months ago
CV-SLAM: A new ceiling vision-based SLAM technique
We propose a fast and robust CV-SLAM (Ceiling Vision –based Simultaneous Localization and Mapping) technique using a single ceiling vision sensor. The proposed algorithm is suita...
Woo Yeon Jeong (Seoul National University), Kyoung...
INFOCOM
2010
IEEE
13 years 6 months ago
A Systematic Approach for Evolving VLAN Designs
—Enterprise networks are large and complex, and their designs must be frequently altered to adapt to changing organizational needs. The process of redesigning and reconfiguring ...
Xin Sun, Yu-Wei Eric Sung, Sunil Krothapalli, Sanj...
PAMI
2010
205views more  PAMI 2010»
13 years 6 months ago
Learning a Hierarchical Deformable Template for Rapid Deformable Object Parsing
In this paper, we address the tasks of detecting, segmenting, parsing, and matching deformable objects. We use a novel probabilistic object model that we call a hierarchical defor...
Long Zhu, Yuanhao Chen, Alan L. Yuille