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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
Through-the-Wall Radar Human Activity Recognition WITHOUT Using Neural NetworksCode0
Latent Fingerprint Recognition: Role of Texture TemplateCode0
Complete CVDL Methodology for Investigating Hydrodynamic InstabilitiesCode0
GradNet: Gradient-Guided Network for Visual Object TrackingCode0
Learning Deep Features for One-Class ClassificationCode0
Learning Dynamic Memory Networks for Object TrackingCode0
Efficient High-Resolution Template Matching with Vector Quantized Nearest Neighbour FieldsCode0
Deep Template-based Object Instance DetectionCode0
Secure Face Matching Using Fully Homomorphic EncryptionCode0
Clustering Internet Memes Through Template Matching and Multi-Dimensional SimilarityCode0
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