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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

Showing 8190 of 219 papers

TitleStatusHype
Toward Personalized Medicine in Connectomic Deep Brain Stimulation0
Spiking Neural Networks for Visual Place Recognition via Weighted Neuronal AssignmentsCode1
Tiny CNN for feature point description for document analysis: approach and dataset0
A Novel Multi-Centroid Template Matching Algorithm and Its Application to Cough Detection0
SAR image matching algorithm based on multi-class features0
BundleTrack: 6D Pose Tracking for Novel Objects without Instance or Category-Level 3D ModelsCode1
Unsupervised Human Pose Estimation through Transforming Shape TemplatesCode1
LatentSLAM: unsupervised multi-sensor representation learning for localization and mapping0
The DKU System Description for The Interspeech 2021 Auto-KWS Challenge0
Robust Registration of Multimodal Remote Sensing Images Based on Structural Similarity0
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