Dr. Olaf Kähler

Abstract
The reconstruction of 3D scene models from arbitrary video sequences is a central task of computer vision. Applications range from the autonomous navigation of robots to the acquisition of 3D models for the entertainment industry. Typical approaches identify and track landmarks in the images as a first step and then recover the geometry in a separate, second step. This book instead focuses on a combination of the two steps. By embedding the novel, combined method in a model-based mathematical framework, superior accuracy and reliability can be shown both theoretically and empirically.

Keywords: computer vision, tracking, 3D reconstruction, structure-from-motion

Olaf Kähler, born in 1979, studied computer science at the Friedrich-Alexander-Universität Erlangen-Nürnberg. From 2005 to 2009 he was then working at the Chair for Computer Computer Vision of the Friedrich-Schiller-Universität Jena and in that course focused on the 3D reconstruction and structure-from-motion problems.

Publications

Olaf Kähler and Joachim Denzler. Implicit Feedback between Reconstruction and Tracking in a Combined Optimization Approach. Proceedings 30th Annual Symposium of the German Association for Pattern Recognition (DAGM2008).2008.

Olaf Kähler and Joachim Denzler. Robust Real-Time SFM in a Combined Formulation of Tracking and Reconstruction. Proceedings of the 13th International Fall Workshop Vision, Modelling, and Visualization (VMV 2008).2008.

Olaf Kähler and Erik Rodner and Joachim Denzler. On Fusion of Range and Intensity Information Using Graph-Cut for Planar Patch Segmentation. International Journal of Intelligent Systems Technologies and Applications.2008.

Olaf Kähler and Joachim Denzler. Rigid Motion Constraints for Tracking Planar Objects. Proceedings 29th Annual Symposium of the German Association for Pattern Recognition (DAGM2007).2007.

Olaf Kähler and Joachim Denzler. Detecting Coplanar Feature Points in Handheld Image Sequences. Proceedings Conference on Computer Vision Theory and Applications VISAPP 2007.2007.

Olaf Kähler and Erik Rodner and Joachim Denzler. On Fusion of Range and Intensity Information Using Graph-Cut for Planar Patch Segmentation. Proceedings Dynamic 3D Imaging Workshop.2007.

Olaf Kähler and Joachim Denzler. Detection of Planar Patches in Handheld Image Sequences. Proceedings Photogrammetric Computer Vision 2006.2006.

Olaf Kähler and Joachim Denzler. Self-Organizing, Adaptive Data Fusion for 3d Object Tracking. ARCS 2005 - Organic and Pervasive Computing, Workshops Proceedings.2005.

Olaf Kähler and Joachim Denzler and Jochen Triesch Hierarchical Sensor Data Fusion by Probabilistic Cue Integration for Robust 3--D Object Tracking. Proceedings of the 6th IEEE Southwest Symposium on Image Analysis and Interpretation.2004.