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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 111–120 of 219 papers

TitleStatusHype
Hand-drawn Symbol Recognition of Surgical Flowsheet Graphs with Deep Image Segmentation—0
An Intelligent and Low-cost Eye-tracking System for Motorized Wheelchair Control—0
A fast semi-automatic method for classification and counting the number and types of blood cells in an image—0
Weakly Supervised Geodesic Segmentation of Egyptian Mummy CT Scans—0
Fast Template Matching and Update for Video Object Tracking and SegmentationCode1
Complete CVDL Methodology for Investigating Hydrodynamic InstabilitiesCode0
DMV: Visual Object Tracking via Part-level Dense Memory and Voting-based Retrieval—0
Open Source Computer Vision-based Layer-wise 3D Printing Analysis—0
Fast and robust template matching with majority neighbour similarity and annulus projection transformationCode1
Fast Video Object Segmentation using the Global Context ModuleCode1
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