Automatic detection of fishes in underwater photogrammetric images


2a47ec50 3adb 4ba6 8b56 c519de087c0f.jpg 500 500

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.

PLEASE LOG IN TO SEE DESCRIPTION: This project is set to limited visibility by its publisher. To see the project description you need to log in at SiROP. Please follow these instructions: - Click link "Open this project..." below. - Log in to SiROP using your university login or create an account to see the details. If your affiliation is not created automatically, please follow these instructions: http://bit.ly/sirop-affiliate

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