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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 31–40 of 219 papers

TitleStatusHype
Segmentation of Blood Vessels, Optic Disc Localization, Detection of Exudates and Diabetic Retinopathy Diagnosis from Digital Fundus ImagesCode1
TTVOS: Lightweight Video Object Segmentation with Adaptive Template Attention Module and Temporal Consistency LossCode1
Deep Learning based Virtual Point Tracking for Real-Time Target-less Dynamic Displacement Measurement in Railway ApplicationsCode1
Latent Fingerprint Recognition: Role of Texture TemplateCode0
APPLE Picker: Automatic Particle Picking, a Low-Effort Cryo-EM FrameworkCode0
In-Hand Pose Estimation and Pin Inspection for Insertion of Through-Hole ComponentsCode0
Learning Deep Features for One-Class ClassificationCode0
Ada-Tracker: Soft Tissue Tracking via Inter-Frame and Adaptive-Template MatchingCode0
GradNet: Gradient-Guided Network for Visual Object TrackingCode0
Human Computer Interaction Using Marker Based Hand Gesture RecognitionCode0
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