MPG ETH CLS Student Projects


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Real-time Eye Tracking from Webcam Input

Let's track eyes reliably with just your laptop or phone.

Eye Tracking Gaze Estimation Real-time

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Efficient automated texture recognition and mapping for 3D city models

The purpose of dense 3D reconstruction is to obtain models that can be visualized on computers. Research on the topic focuses especially on improving the quality of the geometry in order to obtain models that are close to reality or making it faster in real-time.

Material/Texture Recognition Texture Mapping Segmentation 3D Models Machine Learning Computer Vision

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Simplifizierung von Dreiecksmodellen unter Berücksichtigung Geometrischer und Radiometrischer Eigenschaften

The Photogrammetry and Remote Sensing lab implemented an algorithm for the image-based reconstruction of surface meshes. Thereby an initial approximation of the surface is successively refined in a coarse-to-fine scheme.

Mesh Simplification 3D Reconstruction Airborne Images Photogrammetry Computer Vision

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Deep Learning for Eye Tracking

In this project, we aim to explore appearance-based gaze estimation using convolutional neural networks, with the aim of improving on state-of-the-art performance.

Eye tracking Appearance-based gaze estimation Deep convolutional neural networks Machine Learning

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Tree stress estimation with deep learning

A healthy canopy prevents soil erosion, slows rainwater runoff, and is key to clean and ample water supply. However, the amount of trees, their stress level (e.g., defoliation), species, biomass, and age are often unknown because no up-to-date database exists due to the high cost of in-situ surveys.

Satellite images deep machine learning

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Cocoa Segmentation in Satellite Images with deep learning

Cocoa is the basic ingredient to produce chocolate.For market research, big chocolate companies need to know the overall acre-age of cocoa and a rough estimation of annual yield to adjust their buying strategy accordingly.

Deep learning satellite remote sensing semantic segmentation large-scale

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Content-aware Geometric Check Towards Robust Place Recognition

The goal of this project is to extend a place recognition system in order to enable more robustness to different kind of scenes.

Place Recognition Loop closure Image Retrieval Odometry/SLAM Geometric Consistency Check Computer Vision

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Loop Closure in the Presence of Perceptual Aliasing

The goal of this project is to extend a place recognition system to return not only the best image but also an estimation of the error associated to the matched location to improve place recognition in environments presenting perceptual aliasing.

Place Recognition Loop Closure Odometry/SLAM Perceptual Aliasing Computer Vision

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Learning Control

Machine learning for advanced control of intelligent systems

Control machine learing adaptive control robotics dynamic systems optimization intelligent systems

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Distributed Wireless Control

In a new research project, we seek to integrate recent advances in wireless networking with networked control to develop a superior solution for reliable and economic wireless control for cyber-physical systems (CPSs).

Distributed control networked control wireless networks cyber-physical systems theory application

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Visual and Event-based Cameras for Robot Navigation

This project aims to explore the benefits of integrating the output of a conventional frame-based camera (capturing visible light) with that of an event-based camera, such as the Dynamic Vision Sensor (DVS) in the context of robot navigation and Simultaneous Localization And Mapping (SLAM).

Camera Calibration DVS Sensor Fusion Event-based processing Real-time SLAM Computer Vision

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