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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 161–170 of 219 papers

TitleStatusHype
Image-derived generative modeling of pseudo-macromolecular structures - towards the statistical assessment of Electron CryoTomography template matching—0
Secure Face Matching Using Fully Homomorphic EncryptionCode0
Latent Fingerprint Recognition: Role of Texture TemplateCode0
OATM: Occlusion Aware Template Matching by Consensus Set Maximization—0
Learning Dynamic Memory Networks for Object TrackingCode0
APPLE Picker: Automatic Particle Picking, a Low-Effort Cryo-EM FrameworkCode0
Learning Deep Features for One-Class ClassificationCode0
Facial emotion recognition using min-max similarity classifier—0
How deep learning works --The geometry of deep learning—0
MR fingerprinting Deep RecOnstruction NEtwork (DRONE)—0
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