2022 - Research.com Computer Science in Germany Leader Award
2012 - Member of Academia Europaea
Hans-Peter Seidel focuses on Artificial intelligence, Computer vision, Computer graphics, Rendering and Polygon mesh. His Artificial intelligence research is multidisciplinary, incorporating elements of Surface reconstruction and Pattern recognition. Motion capture, High dynamic range, Frame rate, Pixel and Pose are the subjects of his Computer vision studies.
His Computer graphics study frequently links to related topics such as Surface. Hans-Peter Seidel interconnects Bidirectional reflectance distribution function and Graphics pipeline in the investigation of issues within Rendering. His study in Polygon mesh is interdisciplinary in nature, drawing from both Vertex, Geometric modeling, Computer graphics, Mesh generation and Algorithm.
His main research concerns Artificial intelligence, Computer vision, Computer graphics, Rendering and Algorithm. Artificial intelligence is closely attributed to Pattern recognition in his study. His Computer vision study frequently draws parallels with other fields, such as Animation.
His research is interdisciplinary, bridging the disciplines of Visualization and Computer graphics. His Rendering study frequently draws connections to adjacent fields such as Frame rate. His research in Algorithm intersects with topics in Polygon mesh, Mathematical optimization and Surface.
The scientist’s investigation covers issues in Artificial intelligence, Computer vision, Computer graphics, Rendering and Algorithm. Hans-Peter Seidel frequently studies issues relating to Graphics and Artificial intelligence. Computer vision is a component of his Pose, RGB color model, Motion capture, Monocular and Image studies.
His Rendering course of study focuses on Shading and Ambient occlusion. His Algorithm research integrates issues from Polygon mesh and Set. Hans-Peter Seidel combines subjects such as High dynamic range, Computer graphics and Motion blur with his study of Pixel.
Hans-Peter Seidel mainly investigates Artificial intelligence, Computer vision, Pose, Motion capture and Computer graphics. His Artificial intelligence research incorporates elements of Animation, Visibility and Graphics. His Monocular, RGB color model, Pixel, Rendering and Tracking study are his primary interests in Computer vision.
His Rendering research is multidisciplinary, relying on both Scientific visualization, Parallel coordinates and Shading. The various areas that Hans-Peter Seidel examines in his Motion capture study include User interface and Visualization. His Computer graphics research incorporates themes from Motion, Pipeline, Bent molecular geometry, Complex geometry and Massively parallel.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
Laplacian surface editing
O. Sorkine;D. Cohen-Or;Y. Lipman;M. Alexa.
symposium on geometry processing (2004)
Multi-level partition of unity implicits
Yutaka Ohtake;Alexander Belyaev;Marc Alexa;Greg Turk.
international conference on computer graphics and interactive techniques (2003)
Interactive multi-resolution modeling on arbitrary meshes
Leif Kobbelt;Swen Campagna;Jens Vorsatz;Hans-Peter Seidel.
international conference on computer graphics and interactive techniques (1998)
Free-viewpoint video of human actors
Joel Carranza;Christian Theobalt;Marcus A. Magnor;Hans-Peter Seidel.
international conference on computer graphics and interactive techniques (2003)
Feature sensitive surface extraction from volume data
Leif P. Kobbelt;Mario Botsch;Ulrich Schwanecke;Hans-Peter Seidel.
international conference on computer graphics and interactive techniques (2001)
Performance capture from sparse multi-view video
Edilson de Aguiar;Carsten Stoll;Christian Theobalt;Naveed Ahmed.
international conference on computer graphics and interactive techniques (2008)
Ridge-valley lines on meshes via implicit surface fitting
Yutaka Ohtake;Alexander Belyaev;Hans-Peter Seidel.
international conference on computer graphics and interactive techniques (2004)
VNect: real-time 3D human pose estimation with a single RGB camera
Dushyant Mehta;Srinath Sridhar;Oleksandr Sotnychenko;Helge Rhodin.
international conference on computer graphics and interactive techniques (2017)
Motion capture using joint skeleton tracking and surface estimation
Juergen Gall;Carsten Stoll;Edilson de Aguiar;Christian Theobalt.
computer vision and pattern recognition (2009)
Real-Time Generation of Continuous Levels of Detail for Height Fields
Stefan Röttger;Wolfgang Heidrich;Philipp Slusallek;Hans-Peter Seidel.
international conference in central europe on computer graphics and visualization (1998)
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