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» Extracting general-purpose features from LIDAR data
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ICIP
2004
IEEE
16 years 5 months ago
Action modeling with volumetric data
In this paper we propose and test an action recognition algorithm in which the images of the scene captured by a significant number of cameras are first used to generate a volumet...
Fabio Cuzzolin, Augusto Sarti, Stefano Tubaro
CIMAGING
2008
141views Hardware» more  CIMAGING 2008»
15 years 5 months ago
Segmentation of digital microscopy data for the analysis of defect structures in materials using nonlinear diffusions
We apply stabilized inverse diffusion equations (SIDEs) to segment microscopy images of materials to aid in analysis of defects. We extend SIDE segmentation methods and demonstrat...
Landis M. Huffman, Jeff P. Simmons, Ilya Pollak
SPIESR
2004
118views Database» more  SPIESR 2004»
15 years 5 months ago
New method for visual descriptor evaluation
Evaluation in visual information retrieval is usually performed by executing test queries and calculating recall and precision based on predefined media collections and ground tru...
Horst Eidenberger
NIPS
2008
15 years 5 months ago
Hierarchical Fisher Kernels for Longitudinal Data
We develop new techniques for time series classification based on hierarchical Bayesian generative models (called mixed-effect models) and the Fisher kernel derived from them. A k...
Zhengdong Lu, Todd K. Leen, Jeffrey Kaye
WACV
2008
IEEE
15 years 10 months ago
Segmentation of Salient Regions in Outdoor Scenes Using Imagery and 3-D Data
This paper describes a segmentation method for extracting salient regions in outdoor scenes using both 3-D laser scans and imagery information. Our approach is a bottomup attentiv...
Gunhee Kim, Daniel F. Huber, Martial Hebert