Computer Science / Computer Vision

Template-based matching using weight maps

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#Computer Science #Computer Vision

📝 Original Info

  • Title: Template-based matching using weight maps
  • ArXiv ID: 1104.2059
  • Date: 2011-04-13
  • Authors: Researchers from original ArXiv paper

📝 Abstract

Template matching is one of the most prevalent pattern recognition methods worldwide. It has found uses in most visual concept detection fields. In this work, we investigate methods for improving template matching by adjusting the weights of different regions of the template. We compare several weight maps and test the methods using the FERET face test set in the context of human eye detection.

💡 Deep Analysis

Deep Dive into Template-based matching using weight maps.

Template matching is one of the most prevalent pattern recognition methods worldwide. It has found uses in most visual concept detection fields. In this work, we investigate methods for improving template matching by adjusting the weights of different regions of the template. We compare several weight maps and test the methods using the FERET face test set in the context of human eye detection.

📄 Full Content

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Reference

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