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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 151–160 of 219 papers

TitleStatusHype
Iris Recognition Using Scattering Transform and Textural Features—0
Latent-Class Hough Forests for 6 DoF Object Pose Estimation—0
LatentSLAM: unsupervised multi-sensor representation learning for localization and mapping—0
Learning Objectness from Sonar Images for Class-Independent Object Detection—0
Learning to Track Any Object—0
Machine Vision based Sample-Tube Localization for Mars Sample Return—0
Magnetic Resonance Fingerprinting Reconstruction Using Recurrent Neural Networks—0
Mammography Dual View Mass Correspondence—0
Matching Pixels Using Co-Occurrence Statistics—0
Measuring Numerical Common Sense: Is A Word Embedding Approach Effective?—0
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