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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
Autonomous Stabilization of Retinal Videos for Streamlining Assessment of Spontaneous Venous Pulsations—0
Einstein from Noise: Statistical Analysis—0
DPPE: Dense Pose Estimation in a Plenoxels Environment using Gradient Approximation—0
Automatic Real-time Vehicle Classification by Image Colour Component Based Template Matching—0
Explaining Away Results in Accurate and Tolerant Template Matching—0
Exploration of Whether Skylight Polarization Patterns Contain Three-dimensional Attitude Information—0
Extraction of airway trees using multiple hypothesis tracking and template matching—0
Extraction of Daily Changing Words for Question Answering—0
Facial emotion recognition using min-max similarity classifier—0
DMV: Visual Object Tracking via Part-level Dense Memory and Voting-based Retrieval—0
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