Sciweavers
Explore
Publications
Books
Software
Tutorials
Presentations
Lectures Notes
Datasets
Labs
Conferences
Community
Upcoming
Conferences
Top Ranked Papers
Most Viewed Conferences
Conferences by Acronym
Conferences by Subject
Conferences by Year
Tools
Sci2ools
International Keyboard
Graphical Social Symbols
CSS3 Style Generator
OCR
Web Page to Image
Web Page to PDF
Merge PDF
Split PDF
Latex Equation Editor
Extract Images from PDF
Convert JPEG to PS
Convert Latex to Word
Convert Word to PDF
Image Converter
PDF Converter
Community
Sciweavers
About
Terms of Use
Privacy Policy
Cookies
Free Online Productivity Tools
i2Speak
i2Symbol
i2OCR
iTex2Img
iWeb2Print
iWeb2Shot
i2Type
iPdf2Split
iPdf2Merge
i2Bopomofo
i2Arabic
i2Style
i2Image
i2PDF
iLatex2Rtf
Sci2ools
29
click to vote
MMSP
2008
IEEE
favorite
Email
discuss
report
148
views
Multimedia
»
more
MMSP 2008
»
Computationally efficient interference detection in videokeratoscopy images
14 years 5 months ago
Download
eprints.qut.edu.au
David Alonso-Caneiro, D. Robert Iskander, Michael
Real-time Traffic
MMSP 2008
|
Multimedia
|
claim paper
Related Content
»
Efficient And Accurate Interference Detection For Polynomial Deformation
»
Interference Detection for Subdivision Surfaces
»
Interactive inspection of solids crosssections and interferences
»
InterferenceRemoval removing interference of disk access for MPI programs through data rep...
»
A New Class of Efficient BlockIterative Interference Cancellation Techniques for Digital C...
»
VLSI Implementation of the Multistage Detector for Next Generation Wideband CDMA Receivers
»
Matching of DoubleSided Document Images to Remove Interference
»
A Hierarchical Decision Engine for Computer Aided Lung Nodule Detection from CT Images
»
Transmit power allocation for successive interference cancellation in multicode MIMO syste...
more »
Post Info
More Details (n/a)
Added
31 May 2010
Updated
31 May 2010
Type
Conference
Year
2008
Where
MMSP
Authors
David Alonso-Caneiro, D. Robert Iskander, Michael J. Collins
Comments
(0)
Researcher Info
Multimedia Study Group
Computer Vision