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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 51–60 of 219 papers

TitleStatusHype
In-Hand Pose Estimation and Pin Inspection for Insertion of Through-Hole ComponentsCode0
GradNet: Gradient-Guided Network for Visual Object TrackingCode0
Human Computer Interaction Using Marker Based Hand Gesture RecognitionCode0
Chatbot for admissionsCode0
Clustering Internet Memes Through Template Matching and Multi-Dimensional SimilarityCode0
APPLE Picker: Automatic Particle Picking, a Low-Effort Cryo-EM FrameworkCode0
Nonlinear Intensity, Scale and Rotation Invariant Matching for Multimodal ImagesCode0
Self-supervised Vision Transformers for 3D Pose Estimation of Novel ObjectsCode0
Fast and accurate spike sorting of high-channel count probes with KiloSortCode0
Efficient High-Resolution Template Matching with Vector Quantized Nearest Neighbour FieldsCode0
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