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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 81–90 of 219 papers

TitleStatusHype
A Neural Template Matching Method to Detect Knee Joint Areas—0
One-Shot Doc Snippet Detection: Powering Search in Document Beyond Text—0
Template matching with white balance adjustment under multiple illuminants—0
In-Hand Pose Estimation and Pin Inspection for Insertion of Through-Hole ComponentsCode0
Object-Level Targeted Selection via Deep Template Matching—0
Activation Template Matching Loss for Explainable Face Recognition—0
The Gesture Authoring Space: Authoring Customised Hand Gestures for Grasping Virtual Objects in Immersive Virtual Environments—0
Autonomous crater detection on asteroids using a fully-convolutional neural network—0
SHREC 2021: Classification in cryo-electron tomograms—0
Novel Consistency Check For Fast Recursive Reconstruction Of Non-Regularly Sampled Video Data—0
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