IdpMultiCamCalib

Chair for Computer Aided Medical Procedures & Augmented Reality
Lehrstuhl für Informatikanwendungen in der Medizin & Augmented Reality

Adaptive Multiple Camera Calibration


General Info

Thesis by: Amin Abouee
Advisor: Professor Nassir Navab
Supervision by: Yuji Oyamada, Alexandru Duliu
Contact: Yuji Oyamada, Alexandru Duliu
Status: finished


Motivation

Multiple Camera calibration is similar to single camera calibration, the main difference being that the affine transformation between all possible pairs of cameras in each frame is considered rigid. This type of calibration is especially challenging in setups where the cameras do not have a good overlap in their fields of view and as such the calibration pattern cannot be seen by all of them.

The standard chessboard calibration pattern is ill suited for calibrating multiple cameras, as its detection requires that the entire pattern be visible by the camera. Random Dot Markers have been developed to enable tracking even when the calibration pattern is partially oculded or partially outside the image [4]. The recognition and tracking of the markers are based on keypoint matching using local geometrical relationship of keypoints with LLAH (Locally Likely Arrangement Hashing) [2,4].


Goals

Goal of this work is the implementation of a robust approach to multiple camera calibration. This type of calibration has gained significant attention in past years due to its application to 3D model recovery.

References

AuthorTitleYearJournal/ProceedingsReftypeDOI/URL
Geiger, A. [1] AUTOMATIC MULTIPLE CAMERA CALIBRATION USING A PLANAR CALIBRATION PATTERN</td 2006 School
Ecole Polytechnique Fédérale de Lausanne 
mastersthesis  
Nakai, T., Kise, K. & Iwamura, M. [2] Use of affine invariants in locally likely arrangement hashing for camera-based document image retrieval 2006 Document Analysis Systems VII, pp. 541-552  article URL 
Svoboda, T., Martinec, D. & Pajdla, T. [3] A Convenient Multi-Camera Self-Calibration for Virtual Environments 2005 PRESENCE
Teleoperators and Virtual Environments
Vol. 14(4), pp. 407-422 
article  
Uchiyama, H. & Marchand, E. [4] Deformable random dot markers 2011 Mixed and Augmented Reality (ISMAR), 2011 10th IEEE International Symposium on, pp. 237-238  inproceedings URL 
Uchiyama, H. & Saito, H. [5] Random dot markers 2011 Virtual Reality Conference (VR), 2011 IEEE, pp. 35-38  inproceedings URL 




Students.ProjectForm
Title: Adaptive Multiple Camera Calibration
Abstract: Goal of this work is the implementation of a robust approach to multiple camera calibration. This type of calibration has gained significant attention in past years due to its application to 3D model recovery.
Student: Amin Abouee
Director: Professor Nassir Navab
Supervisor: Yuji Oyamada, Alexandru Duliu
Type: IDP/Klinisches Anwendungsprojekt
Area: Registration / Visualization, Computer Vision
Status: finished
Start:  
Finish:  
Thesis (optional):  
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