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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
ASR-free CNN-DTW keyword spotting using multilingual bottleneck features for almost zero-resource languages—0
A Survey on Object Detection in Optical Remote Sensing Images—0
A template matching approach for detecting pronunciation mismatch—0
Automatic Melody Harmonization with Triad Chords: A Comparative Study—0
Automatic Real-time Vehicle Classification by Image Colour Component Based Template Matching—0
Automatic Segmentation of Left Ventricle in Cardiac Magnetic Resonance Images—0
Automatic Techniques for Gridding cDNA Microarray Images—0
Autonomous crater detection on asteroids using a fully-convolutional neural network—0
RinQ Fingerprinting: Recurrence-informed Quantile Networks for Magnetic Resonance Fingerprinting—0
Robust Registration of Multimodal Remote Sensing Images Based on Structural Similarity—0
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