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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 141–150 of 219 papers

TitleStatusHype
The NNI Query-by-Example System for MediaEval 2014—0
Tiny CNN for feature point description for document analysis: approach and dataset—0
Toward a Universal Cortical Algorithm: Examining Hierarchical Temporal Memory in Light of Frontal Cortical Function—0
Toward Personalized Medicine in Connectomic Deep Brain Stimulation—0
TpopT: Efficient Trainable Template Optimization on Low-Dimensional Manifolds—0
Transformer RGBT Tracking with Spatio-Temporal Multimodal Tokens—0
Understanding Video Content: Efficient Hero Detection and Recognition for the Game "Honor of Kings"—0
Unsupervised Learning of Dictionaries of Hierarchical Compositional Models—0
View-Invariant Template Matching Using Homography Constraints—0
Visual Tracking via Dynamic Memory Networks—0
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