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» Creating Generative Models from Range Images
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BMCBI
2007
207views more  BMCBI 2007»
15 years 6 months ago
Analyzing in situ gene expression in the mouse brain with image registration, feature extraction and block clustering
Background: Many important high throughput projects use in situ hybridization and may require the analysis of images of spatial cross sections of organisms taken with cellular lev...
Manjunatha Jagalur, Chris Pal, Erik G. Learned-Mil...
DAGM
2004
Springer
15 years 12 months ago
Building a Motion Resolution Pyramid by Combining Velocity Distributions
Abstract. Velocity distributions are an enhanced representation of image velocity implying more velocity information than velocity vectors. Velocity distributions allow the represe...
Julian Eggert, Volker Willert, Edgar Körner
ICIP
2007
IEEE
16 years 8 months ago
3D Human Motion Tracking using Manifold Learning
This paper introduces a framework to track 3D human movement using Gaussian process dynamic model (GPDM) and particle filter. The framework combines the particle filter and discri...
Feng Guo, Gang Qian
ISBI
2008
IEEE
16 years 7 months ago
Automated proteome-wide determination of subcellular location using high throughput microscopy
A major source of information for identifying subcellular location on a proteome-wide basis will be imaging of tagged proteins in living cells using fluorescence microscopy. We ha...
Robert F. Murphy
CVPR
2008
IEEE
16 years 8 months ago
Context and observation driven latent variable model for human pose estimation
Current approaches to pose estimation and tracking can be classified into two categories: generative and discriminative. While generative approaches can accurately determine human...
Abhinav Gupta, Trista Chen, Francine Chen, Don Kim...