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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 91–100 of 219 papers

TitleStatusHype
Spatial Dual-Modality Graph Reasoning for Key Information Extraction—0
Machine Vision based Sample-Tube Localization for Mars Sample Return—0
PatchNet -- Short-range Template Matching for Efficient Video ProcessingCode1
A comparison of three heart rate detection algorithms over ballistocardiogram signals—0
Geometric Moment Invariants to Motion Blur—0
Deep Learning based Virtual Point Tracking for Real-Time Target-less Dynamic Displacement Measurement in Railway ApplicationsCode1
Contrastive Learning of Relative Position Regression for One-Shot Object Localization in 3D Medical ImagesCode1
Online Decision Based Visual Tracking via Reinforcement Learning—0
Exploration of Whether Skylight Polarization Patterns Contain Three-dimensional Attitude Information—0
Deep Template Matching for Pedestrian Attribute Recognition with the Auxiliary Supervision of Attribute-wise Keypoints—0
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