Postgrad LIVE! Study Fairs

Bristol

European Molecular Biology Laboratory (Heidelberg) Featured PhD Programmes
FindA University Ltd Featured PhD Programmes
Imperial College London Featured PhD Programmes
Birkbeck, University of London Featured PhD Programmes
Karlsruhe Institute of Technology Featured PhD Programmes

Large-scale Urban Reconstruction, Classification, and Rendering from Remote Sensor Imagery


About This PhD Project

Project Description

This project addresses the current technological difficulties of rapid and automatic reconstruction of large scale areas and seeks solutions for the development of accurate, robust and scalable methods and systems for processing the big data captured by active and passive sensors in order to produce a realistic virtual representation.

The research objectives can be better categorized in three primary areas of investigation involving fundamental research, namely:

1. extraction of structural information from data captured from passive and active remote sensors i.e. aerial/satellite images and LiDAR, and reconstructing terrain, buildings, cars and tree models representing the acquired area

2. reproduction of realistic appearance for the 3D models from imagery captured from ground, oblique-aerial and satellite sensors, and fusing this information into realistic composite texture atlases

3. delineation of geospatial information from remote sensor data i.e. road networks from satellite images and LiDAR

Academic Requirements:
We are looking for a highly motivated and creative individual who enjoys working in a collaborative research environment. Good communication skills and fluency in English are required. Applicants should have a strong academic training, including an undergraduate and/or graduate degree in a relevant discipline i.e. computer vision or computer graphics, and have excellent mathematical and programming skills (e.g. C++, Python). Having experience with deep learning and a background in GPU programming are desirable and will be considered a plus.

How to Apply:
Send your resume/CV to Charalambos Poullis (). Please include degree transcripts and a list of references.

Email Now

Insert previous message below for editing? 
You haven’t included a message. Providing a specific message means universities will take your enquiry more seriously and helps them provide the information you need.
Why not add a message here
* required field
Send a copy to me for my own records.

Your enquiry has been emailed successfully





FindAPhD. Copyright 2005-2019
All rights reserved.