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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
ECLIPSE: Semantic Entropy-LCS for Cross-Lingual Industrial Log Parsing—0
Spatial Matching of 2D Mammography Images and Specimen Radiographs: Towards Improved Characterization of Suspicious Microcalcifications—0
DPPE: Dense Pose Estimation in a Plenoxels Environment using Gradient Approximation—0
Ada-Tracker: Soft Tissue Tracking via Inter-Frame and Adaptive-Template MatchingCode0
Quantifying the Resolution of a Template after Image RegistrationCode0
Hand Shape and Gesture Recognition using Multiscale Template Matching, Background Subtraction and Binary Image Analysis—0
Characterization of Magnetic Labyrinthine Structures Through Junctions and Terminals Detection Using Template Matching and CNN—0
Transformer RGBT Tracking with Spatio-Temporal Multimodal Tokens—0
ARTrackV2: Prompting Autoregressive Tracker Where to Look and How to DescribeCode2
BACTrack: Building Appearance Collection for Aerial Tracking—0
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