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Using Normalized Cross Correlation for Object Recognition Paper

About

This is an academic paper filed under the excellence program assignment at Braude College (Karmiel, Israel) submitted August 9th 2015 imported here as a portfolio piece.

This paper explores the advantages and the flaws of using NCC for sub-patterns recognition. Also attached is a MATLAB file brochure_test.m used to run the different NCC testing and acquire the conclusions in the paper. It can be used to play around with NCC!

Paper demo illustration

Gains

  • Self-learning and executing the NCC algorithm
  • Learning testing methodology by coming up with test scenarios of NCC algorithm against various conditions
  • Deriving algorithm efficiency/weaknesses in real-world scenarios

Other Gains

  • Conducting research with academic literature
  • MATLAB scripting
  • Academic paper writing and formatting

Skills stack

matlab scientific notation

Usage

Run brochure_test.m in MATLAB software or use it in MATLAB live editor: https://www.mathworks.com/products/matlab/live-editor.html