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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

Showing 101110 of 219 papers

TitleStatusHype
LatentSLAM: unsupervised multi-sensor representation learning for localization and mapping0
The DKU System Description for The Interspeech 2021 Auto-KWS Challenge0
Robust Registration of Multimodal Remote Sensing Images Based on Structural Similarity0
Spatial Dual-Modality Graph Reasoning for Key Information Extraction0
Machine Vision based Sample-Tube Localization for Mars Sample Return0
A comparison of three heart rate detection algorithms over ballistocardiogram signals0
Geometric Moment Invariants to Motion Blur0
Online Decision Based Visual Tracking via Reinforcement Learning0
Exploration of Whether Skylight Polarization Patterns Contain Three-dimensional Attitude Information0
Deep Template Matching for Pedestrian Attribute Recognition with the Auxiliary Supervision of Attribute-wise Keypoints0
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