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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 161–170 of 219 papers

TitleStatusHype
MR fingerprinting Deep RecOnstruction NEtwork (DRONE)—0
Multilingual Bottleneck Features for Query by Example Spoken Term Detection—0
Multi-scale Template Matching with Scalable Diversity Similarity in an Unconstrained Environment—0
Neural Network based End-to-End Query by Example Spoken Term Detection—0
NeuSort: An Automatic Adaptive Spike Sorting Approach with Neuromorphic Models—0
SAR image matching algorithm based on multi-class features—0
Novel Consistency Check For Fast Recursive Reconstruction Of Non-Regularly Sampled Video Data—0
OATM: Occlusion Aware Template Matching by Consensus Set Maximization—0
Object-Level Targeted Selection via Deep Template Matching—0
One-Dimensional Vector based Pattern Matching—0
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