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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 121–130 of 219 papers

TitleStatusHype
A Review on Object Pose Recovery: from 3D Bounding Box Detectors to Full 6D Pose Estimators—0
Automatic Melody Harmonization with Triad Chords: A Comparative Study—0
Deep Template-based Object Instance DetectionCode0
Neural Network based End-to-End Query by Example Spoken Term Detection—0
Explaining Away Results in Accurate and Tolerant Template Matching—0
Learning to Track Any Object—0
One-Shot Template Matching for Automatic Document Data Capture—0
Measuring Numerical Common Sense: Is A Word Embedding Approach Effective?—0
Robust Monocular Edge Visual Odometry through Coarse-to-Fine Data Association—0
GradNet: Gradient-Guided Network for Visual Object TrackingCode0
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