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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 151–175 of 219 papers

TitleStatusHype
When 3D-Aided 2D Face Recognition Meets Deep Learning: An extended UR2D for Pose-Invariant Face Recognition—0
You Only Crash Once: Improved Object Detection for Real-Time, Sim-to-Real Hazardous Terrain Detection and Classification for Autonomous Planetary Landings—0
Tensorial template matching for fast cross-correlation with rotations and its application for tomography—0
ZS6D: Zero-shot 6D Object Pose Estimation using Vision Transformers—0
Deep Learning-based Multi Project InP Wafer Simulation for Unsupervised Surface Defect Detection—0
A 3D Object Detection and Pose Estimation Pipeline Using RGB-D Images—0
A 9T4R RRAM-Based ACAM for Analogue Template Matching at the Edge—0
A comparison of three heart rate detection algorithms over ballistocardiogram signals—0
A Counterexample in Cross-Correlation Template Matching—0
Activation Template Matching Loss for Explainable Face Recognition—0
Active 6D Pose Estimation for Textureless Objects using Multi-View RGB Frames—0
Adaptive Template Matching with Shift-Invariant Semi-NMF—0
An RRAM-Based Implementation of a Template Matching Circuit for Low-Power Analogue Classification—0
Fast and Robust Matching for Multimodal Remote Sensing Image Registration—0
A fast semi-automatic method for classification and counting the number and types of blood cells in an image—0
A High-Speed, Real-Time Vision System for Texture Tracking and Thread Counting—0
A Hybrid Edge Classifier: Combining TinyML-Optimised CNN with RRAM-CMOS ACAM for Energy-Efficient Inference—0
A landmark-based algorithm for automatic pattern recognition and abnormality detection—0
A MAX-AFFINE SPLINE PERSPECTIVE OF RECURRENT NEURAL NETWORKS—0
An Edge Map based Ensemble Solution to Detect Water Level in Stream—0
A Neural Template Matching Method to Detect Knee Joint Areas—0
An Intelligent and Low-cost Eye-tracking System for Motorized Wheelchair Control—0
A Novel Chamfer Template Matching Method Using Variational Mean Field—0
A Novel Hybrid Approach for Cephalometric Landmark Detection—0
A Novel Multi-Centroid Template Matching Algorithm and Its Application to Cough Detection—0
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