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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 171–180 of 219 papers

TitleStatusHype
Real-Time Monocular Pose Estimation of 3D Objects Using Temporally Consistent Local Color Histograms—0
When 3D-Aided 2D Face Recognition Meets Deep Learning: An extended UR2D for Pose-Invariant Face Recognition—0
Fast Screening Algorithm for Rotation and Scale Invariant Template Matching—0
Deep Learning Improves Template Matching by Normalized Cross Correlation—0
View-Invariant Template Matching Using Homography Constraints—0
A 3D Object Detection and Pose Estimation Pipeline Using RGB-D Images—0
Template Matching with Deformable Diversity SimilarityCode0
Fast and accurate spike sorting of high-channel count probes with KiloSortCode0
Extraction of airway trees using multiple hypothesis tracking and template matching—0
Deep Watershed Transform for Instance SegmentationCode0
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