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A list of my publications can be found here.
Brief Bio
Martin R. Oswald received his "Vordiplom" degree (2003) and a "Diplom" degree (2007) in Computer Science from Dresden University of Technology. In 2005 he studied Machine Learning and Computer Vision at the University of Technology, Sydney. From 2005 to 2007 he worked at the Institute for Civil Engineering at Dresden University of Technology studying neural networks and their application to engineering problems. Subsequently, he studied reliability estimation methods in civil engineering and received a Master's degree in civil engineering from the University of Technology Federico Santa Maria, Valparaiso - Chile (2008). Since January 2009 he is a Ph.D. student in the Research Group for Computer Vision, Image Processing and Pattern Recognition, University of Munich, Germany, headed by Professor Daniel Cremers.
Research Interests
Spatiotemporal Multi-view 3D Reconstruction, Video Processing, Single View Reconstruction, Flow Estimation, Image Segmentation, Variational Methods, Optimization Methods, Probabilistic Methods, Machine Learning, Artificial Intelligence.
I have been working on the following research projects:
Spatio-Temporal Multi-View 3D Reconstruction
Problem: Recover the 3D geometry of a scene from multiple synchronously captured videos.
The video below shows reconstruction results of our method with our proposed generalized connectivity constraints (published at ECCV 2014).
The following video shows results of our method which additionally estimates and integrates normal information (published at BMVC 2014)
The following video shows early results of our method (published at ICCV-4DMOD 2013).
For more information, see the related publication.
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Single-View 3D Reconstruction
Problem: Recover the 3D geometry of an object from a single input image. For example:
The following video shows several results generated by our single-view reconstruction tool.
For more details have a look at the project page.