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Template Matching

Template matching is a technique that is used to find a subimage or a patch (called the template) within a larger image. The basic idea behind template matching is to slide the template image over the larger image and compare the template to each portion of the larger image to determine the similarity between the template and the corresponding portion of the larger image.

Papers

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Showing 81–90 of 219 papers

TitleStatusHype
An RRAM-Based Implementation of a Template Matching Circuit for Low-Power Analogue Classification—0
Deep Learning-based Multi Project InP Wafer Simulation for Unsupervised Surface Defect Detection—0
Best-Buddies Tracking—0
Best-Buddies Similarity - Robust Template Matching using Mutual Nearest Neighbors—0
An Intelligent and Low-cost Eye-tracking System for Motorized Wheelchair Control—0
Facial emotion recognition using min-max similarity classifier—0
Best-Buddies Similarity for Robust Template Matching—0
Extraction of Daily Changing Words for Question Answering—0
Extraction of airway trees using multiple hypothesis tracking and template matching—0
A Neural Template Matching Method to Detect Knee Joint Areas—0
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