<--- Back to Details
First PageDocument Content
Imaging / Optics / Gaussian function / Scale-invariant feature transform / Scale space / Gaussian blur / Difference of Gaussians / Histogram of oriented gradients / GLOH / Computer vision / Image processing / Vision
Date: 2005-06-30 21:30:34
Imaging
Optics
Gaussian function
Scale-invariant feature transform
Scale space
Gaussian blur
Difference of Gaussians
Histogram of oriented gradients
GLOH
Computer vision
Image processing
Vision

Vision-based indoor localization of a motorized wheelchair

Add to Reading List

Source URL: www.ecse.monash.edu.au

Download Document from Source Website

File Size: 957,46 KB

Share Document on Facebook

Similar Documents

Mathematical analysis / Mathematics / Geometry / Metric geometry / Sobolev spaces / Inequalities / Function spaces / Measure theory / Sobolev inequality / Metric space / Lp space / Quasi-isometry

Large scale Sobolev inequalities on metric measure spaces and applications. Romain Tessera October 29, 2010 Abstract For functions on a metric measure space, we introduce a notion of

DocID: 1xTnT - View Document

Proceedings of the 11th Space Syntax Symposium #103 NATIONAL SCALE MODELLING TO TEST UK POPULATION GROWTH AND INFRASTRUCTURE SCENARIOS ED PARHAM

DocID: 1ubiL - View Document

Disserta(on  Talk:   Exploring  the  Design  Space  of     Deep  Convolu(onal  Neural  Networks  at  Large  Scale   Forrest  Iandola  

DocID: 1tDZd - View Document

7A.5 WRF-Chem simulation of deep convective transport in different scale storms using lightning data assimilation. Li, Yunyao, University of Maryland (UMD), Kenneth Pickering, National Aeronautics and Space Administ

DocID: 1sjtX - View Document

Education / Educational psychology / Euthenics / Knowledge sharing / Learning space / Educational technology / Collaborative learning / Active learning / Learning environment / Instructional design / SCALE-UP / Classroom

Journal of Learning Spaces Volume 1, NumberISSNPromoting Active Learning in Technology-Infused TILE Classrooms

DocID: 1rnPR - View Document