Automatic detection of fishes in underwater photogrammetric images

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Starting Date: earliest start: (2020-02-01) latest end: (2020-07-31)

Organization: Photogrammetry and Remote Sensing (Prof. Schindler)

Involved Host(s): Schindler Konrad

Abstract: In underwater photogrammetric surveys, fishes are often visible in the images and disturb disturbing orthophotos and model textures. The goal of the project is to design and implement an automatic system for detecting fishes and masking them out.

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Photogrammetry Computer Vision Object Detection Machine Learning Underwater Archaeology

Labels: Semester Project Bachelor Thesis Master Thesis CLS Student Project (MPG ETH CLS)
Topics: Information, Computing and Communication Sciences Engineering and Technology