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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 21–30 of 219 papers

TitleStatusHype
Fast Template Matching and Update for Video Object Tracking and SegmentationCode1
Fast Video Object Segmentation using the Global Context ModuleCode1
Deep Phase Correlation for End-to-End Heterogeneous Sensor Measurements MatchingCode1
AccoMontage2: A Complete Harmonization and Accompaniment Arrangement SystemCode1
Learning Accurate Template Matching with Differentiable Coarse-to-Fine Correspondence RefinementCode1
MARs: Multi-view Attention Regularizations for Patch-based Feature Recognition of Space TerrainCode1
L2V2T2Calib: Automatic and Unified Extrinsic Calibration Toolbox for Different 3D LiDAR, Visual Camera and Thermal CameraCode1
Robust Template Matching via Hierarchical Convolutional Features from a Shape Biased CNNCode1
Segmentation of Blood Vessels, Optic Disc Localization, Detection of Exudates and Diabetic Retinopathy Diagnosis from Digital Fundus ImagesCode1
Tracking Holistic Object RepresentationsCode1
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