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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 211–219 of 219 papers

TitleStatusHype
Edge Based Oriented Object Detection—0
Efficient Discriminative Nonorthogonal Binary Subspace with its Application to Visual Tracking—0
Einstein from Noise: Statistical Analysis—0
Estimating Carotid Pulse and Breathing Rate from Near-infrared Video of the Neck—0
Explaining Away Results in Accurate and Tolerant Template Matching—0
Exploration of Whether Skylight Polarization Patterns Contain Three-dimensional Attitude Information—0
Extraction of airway trees using multiple hypothesis tracking and template matching—0
Extraction of Daily Changing Words for Question Answering—0
Facial emotion recognition using min-max similarity classifier—0
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