Template Matching
57 papers with code • 0 benchmarks • 0 datasets
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.
Benchmarks
These leaderboards are used to track progress in Template Matching
Most implemented papers
BOP: Benchmark for 6D Object Pose Estimation
We propose a benchmark for 6D pose estimation of a rigid object from a single RGB-D input image.
CRED: A Deep Residual Network of Convolutional and Recurrent Units for Earthquake Signal Detection
smousavi05/CRED
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It learns the time-frequency characteristics of the dominant phases in an earthquake signal from three component data recorded on a single station.
Beyond Correlation: A Path-Invariant Measure for Seismogram Similarity
Similarity search is a popular technique for seismic signal processing, with template matching, matched filters and subspace detectors being utilized for a wide variety of tasks, including both signal detection and source discrimination.
SMART tracking: Simultaneous anatomical imaging and real-time passive device tracking for MR-guided interventions
This approach was tested on tracking of five 0. 5 mm steel markers in an agarose phantom and on insertion of an MRI-compatible 20 Gauge titanium needle in ex vivo porcine tissue.
Deep Template-based Object Instance Detection
jpmerc/DTOID
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In this context, we propose a generic 2D object instance detection approach that uses example viewpoints of the target object at test time to retrieve its 2D location in RGB images, without requiring any additional training (i. e. fine-tuning) step.
Fast Video Object Segmentation using the Global Context Module
Therefore, it uses constant memory regardless of the video length and costs substantially less memory and computation.
Fast and robust template matching with majority neighbour similarity and annulus projection transformation
In the paper, a novel fast and robust template matching method named A-MNS based on Majority Neighbour Similarity (MNS) and the annulus projection transformation (APT) is proposed.
Complete CVDL Methodology for Investigating Hydrodynamic Instabilities
scientific-computing-nrcn/SimulAI
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In fluid dynamics, one of the most important research fields is hydrodynamic instabilities and their evolution in different flow regimes.
Fast Template Matching and Update for Video Object Tracking and Segmentation
Specifically, the reinforcement learning agent learns to decide whether to update the target template according to the quality of the predicted result.
Robust Template Matching via Hierarchical Convolutional Features from a Shape Biased CNN
Finding a template in a search image is an important task underlying many computer vision applications.
