Three Dimentional Scene Analysis
Project Supervisor: Prof. Dr.-Ing. R.-R. Grigat
Coworker: Dr. Dipl.-Ing. Fabian Wenzel
Running time: 09.2001 - 04.2006
Financing: TUHH
Publications: here
References:
In order to be able to seize objects by two or more cameras three-dimensional, it is necessary to find from the appropriate picture sequences points of same origin. With them conclusions can be pulled both over the regarded objects and over the illustration characteristics and positions of the cameras. A goal of the project is it to examine this correspondence problem from algorithmic and methodical side to in order to make durable and fast 3D-Rekonstruktion possible.
Project Supervisor: Prof. Dr.-Ing. R.-R. Grigat
Coworker:Dr. Dipl.-Ing. Simon Schulz
Running time: 05.2004 - 03.2008
Financing: Industrie
Publications: here
References: IR-Color Management, Automotive Image Processing
Cameras are getting more and more interesting for applications in the automobile sector. Special requirements are a high light sensitivity in combination with hardware devices usable in automobile environment. The project is concerned with the recording and reproduction of colored image sequences with use of the infrared sensitivity of modern silicon image sensors.
Project Supervisor: Prof. Dr.-Ing. R.-R. Grigat
Coworker: Dipl.-Ing. Marcus Rosenstiel
Running time: 11.2005 - 03.2010
Financing: Industrie
Publications: here
References: Airflow, Videometry
Due to increasing demands in terms of comfort, the optimization of the air conditioning in closed rooms is of major concern. The airflow in the room can be detected by measuring the air-velocity with an anemometer. A drawback of this method is the cost of such a probe and it's direct influence on the current. For this reason, the airflow is measured contactless via videometry. The goal of this research project is to determine the three dimensional turbulent airflow in closed rooms.
Project Supervisor: Prof. Dr.-Ing. R.-R. Grigat
Coworker: Dipl.-Ing. Jan Marek Marcinczak
Running time: 10.2010 - 12.2014
Financing: TUHH
Publications: here
References: Computer Aided Diagnosis, 3D Reconstruction, Structure from Motion, Mini-Laparoscopy
Mini-Laparoscopy is a diagnostic technique which is used by clinicians to inspect the organs inside the abdomen. Thin laparoscopes with diameters from 1.9mm – 3.5mm make this technique less invasive compared to common laparoscopy and high definition cameras produce detailed images of organs located inside the abdomen. While a lot of effort has been made in computer assistance of Minimal Invasive Surgery (MIS), no computer assisted diagnostic system for mini-laparoscopy has been developed. For computer aided diagnosis in mini-laparoscopy, reliable features need to be found which are correlated with the target disease. Within the scope of this project, methods for analysis and 3D reconstruction of liver cirrhosis based on mini-laparoscopic sequences are developed. Main focus is given to the precise reconstruction of the cirrhotic liver surface from monocular sequences in presence of specular reflections and illumination change.
Project Supervisor: Prof. Dr.-Ing. R.-R. Grigat
Coworker: M.Sc. Luh Putu Ayu Prapitasari
Running time: 10.2012 - 09.2016
Financing: Sholarship from Indonesia
Publications: here
References: Kruppa's equation, absolute conic, calibration
The demands in camera self-calibration is very high but unfortunately, at the moment, there is no mature method has been found or developed so far.
In this research we aim to develop a robust camera self-calibration algorithm for general cameras, either using single or multiple view as the input. The camera model is restricted to be a pinhole camera which is supposed to be projective camera, including the smartphone cameras. As the first method in self-calibration was the Kruppa's equations which is worked based on the absolute conic, then the method that we are going to develop will first investigate the Kruppa's as the basic and for the better understanding of the problem.
The possibility of the algorithm to be used for stereo camera will also be investigated for the future use.
Project Supervisor: Prof. Dr.-Ing. R.-R. Grigat
Coworker: M. Sc. Sven Painer
Running time: 1.2015 - 12.2018
Financing: TUHH
Publications: here
References: Dense 3D Reconstruction, Mini-Laparoscopic Sequences
3D reconstruction using a single moving camera is possible up to a global scale factor. For a stereo camera rig with overlapping field-of-view, it is possible to reconstruct any object inside the overlap including the scale and therefore, the whole scene can be reconstructed including global scale. There are situations where the camera setup is fixed without overlap or where there is a limit in the number of cameras and as much as possible of the field-of-view should be used. In such situations, well-known stereo algorithms can not be used, but it is still possible to reconstruct the scene including global scaling. In this project, such algorithms are developed, extended and evaluated.