M
Marc Pollefeys
Researcher at ETH Zurich
Publications - 640
Citations - 45294
Marc Pollefeys is an academic researcher from ETH Zurich. The author has contributed to research in topics: Pose & 3D reconstruction. The author has an hindex of 98, co-authored 601 publications receiving 36463 citations. Previous affiliations of Marc Pollefeys include Chalmers University of Technology & École Polytechnique Fédérale de Lausanne.
Papers
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Book ChapterDOI
Pixelwise View Selection for Unstructured Multi-View Stereo
TL;DR: The core contributions are the joint estimation of depth andnormal information, pixelwise view selection using photometric and geometric priors, and a multi-view geometric consistency term for the simultaneous refinement and image-based depth and normal fusion.
Journal ArticleDOI
Visual Modeling with a Hand-Held Camera
Marc Pollefeys,Luc Van Gool,Maarten Vergauwen,Frank Verbiest,Kurt Cornelis,Jan Tops,Reinhard Koch +6 more
TL;DR: A complete system to build visual models from camera images is presented and a combined approach with view-dependent geometry and texture is presented, as an application fusion of real and virtual scenes is also shown.
Proceedings ArticleDOI
Self-calibration and metric reconstruction in spite of varying and unknown internal camera parameters
TL;DR: A self-calibration method is presented which efficiently deals with all kinds of constraints on the internal camera parameters and a practical method is proposed which can retrieve metric reconstruction from image sequences obtained with uncalibrated zooming/focusing cameras.
Journal ArticleDOI
Detailed Real-Time Urban 3D Reconstruction from Video
Marc Pollefeys,David Nister,Jan-Michael Frahm,Amir Akbarzadeh,Philippos Mordohai,Brian Clipp,Chris Engels,David Gallup,Seon Joo Kim,Paul Merrell,C. Salmi,Sudipta N. Sinha,B. Talton,Wang Liang,Qingxiong Yang,Henrik Stewenius,Ruigang Yang,Gregory F. Welch,Herman Towles +18 more
TL;DR: A system for automatic, geo-registered, real-time 3D reconstruction from video of urban scenes that extends existing algorithms to meet the robustness and variability necessary to operate out of the lab and shows results on real video sequences comprising hundreds of thousands of frames.
Journal ArticleDOI
Self-Calibration and Metric Reconstruction Inspite of Varying and Unknown Intrinsic Camera Parameters
TL;DR: A theoretical proof is given which shows that the absence of skew in the image plane is sufficient to allow for self-calibration and a method to detect critical motion sequences is proposed.