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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 161–170 of 219 papers

TitleStatusHype
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
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