Roland Angst @ Stanford University >> Publications >> Publications

Publications


Tutorials

Title Authors Conference / Journal Remarks
Teaser Image Tutorial ICCV 13 ICCV 2013 Tutorial on Low-Dimensional Subspaces in Computer Vision
Slides: [Course Website]
R. Angst Tutorial presented at ICCV 2013

Conference and Journal Publications

Title Authors Conference / Journal Remarks
Teaser Image CVPR 2013 Joint Reconstruction Joint 3D Scene Reconstruction and Class Segmentation
Paper: [pdf, 4.5 MB];
Video: [pdf, 21.5 MB];
C. Häne, C. Zach, A. Cohen, R. Angst, M. Pollefeys CVPR 2013
Teaser Image CVPR 2013 Restricted Motions Articulated and Restricted Motion Subspaces and Their Signatures
Paper: [pdf, 17MB];
Video: [avi, 12.5MB];
B. Jacquet, R. Angst, M. Pollefeys CVPR 2013
Teaser Image CVPR 2013 Radial Distortion Radial Distortion Self-Calibration
Paper: [pdf, 3MB];
J. Brito, K. Köser, R. Angst, M. Pollefeys CVPR 2013
Teaser Image ACCV 2012 Unknown Radial Distortion Centers in Multiple View Geometry Problems
Paper: [pdf];
J. Brito, R. Angst, K. Köser, C. Zach, P. Branco, M. Ferreira, M. Pollefeys ACCV 2012
Teaser Image IJCV 2012 Multilinear Factorizations for Multi-Camera Rigid Structure from Motion Problems
Paper: [pdf, 6.4MB];
The final publication is available at www.springerlink.com.
R. Angst, M. Pollefeys IJCV An extended version of our previous papers about rigid multi-camera factorizatinos (General and planar rigid motions).
Teaser Image ECCV 2012 A Unified View on Deformable Shape Factorizations
Paper: [pdf, 0.5MB];
Suppl. Mat.: [pdf, 334KB ]
The original publication is availabe at www.springerlink.com
R. Angst, M. Pollefeys ECCV 2012
Teaser Image ICCV 2011 The Generalized Trace Norm and Its Application to Structure From Motion Problems
Paper: [pdf, 580KB];
Suppl. Mat.: [pdf, 180KB ]
R. Angst, C. Zach M. Pollefeys ICCV 2011
Teaser Image ECCV 2010 5D Motion Subspaces for Planar Motions
Paper: [pdf, 1.8MB];
Suppl. Mat.: [pdf, 280KB ]
Conference Presentation: [swf, 5.8MB]
The original publication is availabe at www.springerlink.com
R. Angst, M. Pollefeys ECCV 2010 This was an oral presentation. The conference presentation can be downloaded as a flash animation.
Teaser Image ICCV 09 Static Multi-Camera Factorization Using Rigid Motion
Paper: [pdf, 2.5MB]
Suppl. Mat.: [pdf, 191KB]
R. Angst, M. Pollefeys Proc. ICCV'09 (Int. Conf. on Computer Vision)
Teaser Image PG 08 Robust and Efficient Wave Simulations on Deforming Meshes
Paper: [pdf, 2.5MB]
Video: [mov, 100MB]
Conference Presentation: [swf, 9MB]
R. Angst, N. Thuerey, M. Botsch, M. Gross Proceedings of the Pacific Conference on Computer Graphics and Applications (Tokyo, Japan, October 8-10, 2008), Computer Graphics Forum, vol. 27, no. 7, 2008, pp. 1895-1900 This publication evolved from my Master's Thesis.
Teaser Image Siggraph07 Multi-Scale Capture of Facial Geometry and Motion
Paper: [pdf, 4.6MB]
Video: [mp4, 62.8MB]
B. Bickel, M. Botsch, R. Angst, W. Matusik , M.A. Otaduy, H. Pfister, M. Gross Proceedings of ACM SIGGRAPH (San Diego, USA, August 5-9, 2007), ACM Transactions on Graphics, vol. 26, no. 3, pp. 33.1-33.10 Joint project between ETH and MERL while I was an intern at MERL

Thesis

Title Authors Conference / Journal Remarks
Teaser Image PhD Thesis 12 Subspaces in Geometric Computer Vision: Models and Algorithms
Thesis: [pdf, 10.2MB]
R. Angst PhD Thesis written at the Computer Visoin and Geometry Lab of ETH Zurich, September 2012
Teaser Image Master Thesis Control Algorithms for Interactively Animated Fluid Characters
Paper: [pdf, 15.1MB];
Video: [avi, 2.7MB, avi, 5.6MB, avi, 3.5MB, avi, 13.3MB, avi, 2.6MB, avi, 8.5MB]
R. Angst, Advisor: N. Thuerey Master's Thesis written at the CG Laboratory of ETH Zurich, September 2007 Awarded with ETH Medal
Teaser Image Semester Thesis 07 Fluid Effects in Cutting Simulations
Paper: [pdf, 6.4MB]
R. Angst, Advisor: M.A. Otaduy, Semester thesis written at the CG Laboratory of ETH Zurich, Fall 06 / Spring 07
Teaser Image Semester Thesis 06 Local Features and Shape for Recognition
Paper: [pdf, 6.3MB], in German
R. Angst, Advisor: B. Ommer Semester thesis written at the Pattern Analysis and Machine Learning Group of ETH Zurich, Spring 06

© Roland Angst rangst@stanford.edu