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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 41–50 of 219 papers

TitleStatusHype
Learning Dynamic Memory Networks for Object TrackingCode0
Nonlinear Intensity, Scale and Rotation Invariant Matching for Multimodal ImagesCode0
In-Hand Pose Estimation and Pin Inspection for Insertion of Through-Hole ComponentsCode0
GradNet: Gradient-Guided Network for Visual Object TrackingCode0
Best Buddies Registration for Point CloudsCode0
Human Computer Interaction Using Marker Based Hand Gesture RecognitionCode0
Latent Fingerprint Recognition: Role of Texture TemplateCode0
Fast and accurate spike sorting of high-channel count probes with KiloSortCode0
Deep Watershed Transform for Instance SegmentationCode0
CRED: A Deep Residual Network of Convolutional and Recurrent Units for Earthquake Signal DetectionCode0
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