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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 61–70 of 219 papers

TitleStatusHype
Through-the-Wall Radar Human Activity Recognition WITHOUT Using Neural NetworksCode0
Fast and accurate spike sorting of high-channel count probes with KiloSortCode0
Efficient High-Resolution Template Matching with Vector Quantized Nearest Neighbour FieldsCode0
Efficient Sliding Window Computation for NN-Based Template MatchingCode0
Learning Deep Features for One-Class ClassificationCode0
Self-supervised Vision Transformers for 3D Pose Estimation of Novel ObjectsCode0
Deep Learning Improves Template Matching by Normalized Cross Correlation—0
A Robust Multimodal Remote Sensing Image Registration Method and System Using Steerable Filters with First- and Second-order Gradients—0
A Review on Object Pose Recovery: from 3D Bounding Box Detectors to Full 6D Pose Estimators—0
A fast semi-automatic method for classification and counting the number and types of blood cells in an image—0
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