Linear Rank Deficient Filters in Computer Vision Applications

Chesnokov Yuriy
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1 Jun 2008GPL34 min read
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The article describes the optimization of an image convolution operation with the application of linear rank deficient filters in computer vision problems.
lrdf_bin.zip
- bin
  - data
    - H.txt
    - I.txt
    - s.txt
    - u.txt
    - v.txt
  - lrdf.exe
lrdf_src.zip
- src
  - Lib
    - vec2d.cpp
    - vec2d.h
  - lrdf.vcproj
  - main.cpp
  - ReadMe.txt
  - stdafx.cpp
  - stdafx.h
  - targetver.h
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Written By
Chesnokov Yuriy
Engineer
Russian Federation
Highly skilled Engineer with 14 years of experience in academia, R&D and commercial product development supporting full software life-cycle from idea to implementation and further support. During my academic career I was able to succeed in MIT Computers in Cardiology 2006 international challenge, as a R&D and SW engineer gain CodeProject MVP, find algorithmic solutions to quickly resolve tough customer problems to pass product requirements in tight deadlines. My key areas of expertise involve Object-Oriented
Analysis and Design OOAD, OOP, machine learning, natural language processing, face recognition, computer vision and image processing, wavelet analysis, digital signal processing in cardiology.
Linear Rank Deficient Filters in Computer Vision Applications

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