Multi-Template-Matching for object-detection (slides)

Thomas, Laurent

doi:10.5281/zenodo.6554165

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Multi-Template-Matching for object-detection (slides)

Thomas, Laurent

Year: 2022 Journal: Zenodo (CERN European Organization for Nuclear Research) Publisher: European Organization for Nuclear Research

DOI: 10.5281/zenodo.6554165

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Abstract

This presentations describes Multi-Template-Matching, a novel method extending on template-matching for object-detection in images. The project was part of the PhD project of Laurent Thomas between 2017 and 2020, under supervision of Jochen Gehrig. The project was hosted at ACQUIFER Imaging with collaboration of the medical university of Heidelberg, and part of the ImageInLife Horizon2020 ITN (PhD program).

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Presentation (obstetrics) Medical imaging Focus (optics) Work (physics)

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Topics

Advanced Image and Video Retrieval Techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Image Processing and 3D Reconstruction

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Image Retrieval and Classification Techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Multi-Template-Matching for object-detection (slides)

Abstract

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