2011/04/11 by Kwie Min Wong, Wong, Kwie Min
Computer Science · #Advanced Image and Video Retrieval Techniques #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Image Retrieval and Classification Techniques #Video Analysis and Summarization #cs.CV
paper · pdf · doi:10.48550/arxiv.1104.2059
arxiv created 2011/04/11 · openalex publication_date 2011/04/11 · arxiv updated 2011/04/13 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
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.