Fault Detection in a 3D Seismic Volume

Abstract

The goal of this challenge was automatic detection and segmentation of faults (curved surfaces) in 3D seismic data. My solution is based on point cloud analysis with PCL. The algorithms were developed in C++ and a dockerized version of the code was provided. (C++, PCL, eigen, Docker)

Date
Oct 1, 2020 12:00 AM
Matthieu Zins
Matthieu Zins
Computer Vision engineer (PhD)

My research interests include computer vision, augmented reality and machine learning, with a focus on visual localization using abstract object models.

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