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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 71–80 of 219 papers

TitleStatusHype
NeuSort: An Automatic Adaptive Spike Sorting Approach with Neuromorphic Models—0
Displacement field calculation of large-scale structures using computer vision with physical constraints—0
Image Moment Invariants to Rotational Motion Blur—0
Pi-ViMo: Physiology-inspired Robust Vital Sign Monitoring using mmWave Radars—0
You Only Crash Once: Improved Object Detection for Real-Time, Sim-to-Real Hazardous Terrain Detection and Classification for Autonomous Planetary Landings—0
An RRAM-Based Implementation of a Template Matching Circuit for Low-Power Analogue Classification—0
Nonlinear Intensity, Scale and Rotation Invariant Matching for Multimodal ImagesCode0
LocPoseNet: Robust Location Prior for Unseen Object Pose Estimation—0
Automatic Real-time Vehicle Classification by Image Colour Component Based Template Matching—0
Feature Embedding by Template Matching as a ResNet Block—0
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