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CVPR
2009
IEEE
16 years 10 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,...
ICCV
2009
IEEE
1331views Computer Vision» more  ICCV 2009»
16 years 9 months ago
I know what you did last summer: object-level auto-annotation of holiday snaps
The state-of-the art in visual object retrieval from large databases allows to search millions of images on the object level. Recently, complementary works have proposed systems ...
Stephan Gammeter, Lukas Bossard, Till Quack, Luc V...
ICCV
2009
IEEE
1136views Computer Vision» more  ICCV 2009»
16 years 9 months ago
Robust Graph-Cut Scene Segmentation and Reconstruction for Free-Viewpoint Video of Complex Dynamic Scenes
Current state-of-the-art image-based scene reconstruction techniques are capable of generating high-fidelity 3D models when used under controlled capture conditions. However, th...
Jean-Yves Guillemaut, Joe Kilner and Adrian Hilton
CVPR
2009
IEEE
1528views Computer Vision» more  CVPR 2009»
16 years 8 months ago
Structured Output-Associative Regression
Structured outputs such as multidimensional vectors or graphs are frequently encountered in real world pattern recognition applications such as computer vision, natural language pr...
Liefeng Bo and Cristian Sminchisescu
CVPR
1999
IEEE
16 years 6 months ago
Fundamental Bounds on Edge Detection: An Information Theoretic Evaluation of Different Edge Cues
We treat the problem of edge detection as one of statistical inference. Local edge cues, implemented by filters, provide information about the likely positions of edges which can ...
Scott Konishi, Alan L. Yuille, James M. Coughlan, ...
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