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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 91–100 of 219 papers

TitleStatusHype
Automatic Segmentation of Left Ventricle in Cardiac Magnetic Resonance Images—0
Fast ASR-free and almost zero-resource keyword spotting using DTW and CNNs for humanitarian monitoring—0
FasT-Match: Fast Affine Template Matching—0
Fast Normalized Cross-Correlation for Template Matching with Rotations—0
A landmark-based algorithm for automatic pattern recognition and abnormality detection—0
DPPE: Dense Pose Estimation in a Plenoxels Environment using Gradient Approximation—0
Fast Template Matching by Subsampled Circulant Matrix—0
Automatic Real-time Vehicle Classification by Image Colour Component Based Template Matching—0
DMV: Visual Object Tracking via Part-level Dense Memory and Voting-based Retrieval—0
Displacement field calculation of large-scale structures using computer vision with physical constraints—0
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