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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 41–50 of 219 papers

TitleStatusHype
Self-supervised Vision Transformers for 3D Pose Estimation of Novel ObjectsCode0
Autonomous Stabilization of Retinal Videos for Streamlining Assessment of Spontaneous Venous Pulsations—0
NeuSort: An Automatic Adaptive Spike Sorting Approach with Neuromorphic Models—0
Evaluation of a Canonical Image Representation for Sidescan SonarCode1
DoUnseen: Tuning-Free Class-Adaptive Object Detection of Unseen Objects for Robotic GraspingCode1
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
Learning Accurate Template Matching with Differentiable Coarse-to-Fine Correspondence RefinementCode1
You Only Crash Once: Improved Object Detection for Real-Time, Sim-to-Real Hazardous Terrain Detection and Classification for Autonomous Planetary Landings—0
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