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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 191–200 of 219 papers

TitleStatusHype
Best-Buddies Similarity - Robust Template Matching using Mutual Nearest Neighbors—0
Best-Buddies Tracking—0
ByCAN: Reverse Engineering Controller Area Network (CAN) Messages from Bit to Byte Level—0
Characterization of Magnetic Labyrinthine Structures Through Junctions and Terminals Detection Using Template Matching and CNN—0
Coarse-to-Fine Classification via Parametric and Nonparametric Models for Computer-Aided Diagnosis—0
Comparing CRF and template-matching in phrasing tasks within a Hybrid MT system—0
Comparing Cross Correlation-Based Similarities—0
Deep Learning Improves Template Matching by Normalized Cross Correlation—0
DeepSync: A Learning Framework for Pervasive Localization using Code Synchronization on Compressed Cellular Spectrum—0
Deep Template Matching for Offline Handwritten Chinese Character Recognition—0
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