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» Unsupervised feature extraction using neuro-fuzzy approach
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IROS
2009
IEEE
212views Robotics» more  IROS 2009»
16 years 1 months ago
3D feature based mapping towards mobile robots' enhanced performance in rescue missions
— This paper presents a feature based 3D mapping approach with regard to obtaining compact models of semistructured environments such as partially destroyed buildings where mobil...
Paloma de la Puente, Diego Rodríguez-Losada...
ICPR
2004
IEEE
16 years 7 months ago
Texture Analysis using Level-crossing Statistics
We present a novel statistical texture descriptor employing level-crossing statistics. Images are first mapped into 1D signals using space-filling curves, such as Peano or Hilbert...
Carlos Santamaria, Miroslaw Bober, Wieslaw Szajnow...
ICVGIP
2004
15 years 7 months ago
Facial Model Improvement Using 3D Texture Mapping Feedback
We present a method for improving a 3D facial model by interactive feedback of mapping a texture obtained from a 3D scanner. The method is based on extracting features from both 3...
Yongjie Liu, Anup Basu, Jong-Seong Kim
ICSM
2006
IEEE
16 years 15 days ago
Exploiting the Analogy Between Traces and Signal Processing
The main challenge of dynamic analysis is the huge volume of data, making it difficult to extract high level views. Most techniques developed so far adopt a finegrained approach ...
Adrian Kuhn, Orla Greevy
ICDE
2007
IEEE
189views Database» more  ICDE 2007»
16 years 24 days ago
Integration of Motion Capture and EMG data for Classifying the Human Motions
Three dimensional motion capture facility is a powerful tool for quantitative and qualitative assessment of multijoint external movements. Electro-myograph (EMG) signals give the ...
Gaurav N. Pradhan, Navzer D. Engineer, Mihai Nadin...