2020 - Fellow of the Royal Society of Canada Academy of Science
Alla Sheffer spends much of her time researching Artificial intelligence, Polygon mesh, Computer vision, Mesh parameterization and Algorithm. Her work on Machine learning expands to the thematically related Artificial intelligence. The Geometry processing research Alla Sheffer does as part of her general Polygon mesh study is frequently linked to other disciplines of science, such as Deformation and Low distortion, therefore creating a link between diverse domains of science.
Her work on Orientation, Motion capture and Segmentation as part of general Computer vision study is frequently linked to Scale-space segmentation, bridging the gap between disciplines. Her Mesh parameterization research incorporates themes from Flattening and Computer graphics. Her Algorithm study integrates concerns from other disciplines, such as Feature and Morphing.
Artificial intelligence, Computer vision, Algorithm, Surface and Polygon mesh are her primary areas of study. Alla Sheffer has researched Artificial intelligence in several fields, including Pattern recognition and Surface reconstruction. Alla Sheffer interconnects Motion and Computer graphics in the investigation of issues within Computer vision.
The concepts of her Algorithm study are interwoven with issues in Range, Segmentation and Feature. Her study on Surface also encompasses disciplines like
Alla Sheffer focuses on Algorithm, Artificial intelligence, Surface, Computer vision and Polygon mesh. Alla Sheffer usually deals with Algorithm and limits it to topics linked to Segmentation and Robustness. Her Artificial intelligence research is multidisciplinary, relying on both Piecewise and Pattern recognition.
Her Surface research is multidisciplinary, incorporating perspectives in Tangent, Computation, Manifold and Virtual reality. Her research integrates issues of Industrial design and Surface reconstruction in her study of Computer vision. Her work carried out in the field of Polygon mesh brings together such families of science as Hexahedron and Feature.
Alla Sheffer mostly deals with Engineering drawing, Sketch, Algorithm, Artificial intelligence and Artificial neural network. Engineering drawing is connected with Sketch-based modeling, Fold and Gestalt psychology in her research. Her Sketch study combines topics from a wide range of disciplines, such as Curvature, Convolutional neural network, Pattern recognition and Rendering.
Her research in Algorithm intersects with topics in Plane, Geometry processing, UV mapping and Mesh parameterization. The various areas that she examines in her Artificial intelligence study include Polygon mesh and Surface reconstruction. Her Artificial neural network research includes themes of Perspective, Orthographic projection and Computer vision.
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.
A scalable active framework for region annotation in 3D shape collections
Li Yi;Vladimir G. Kim;Duygu Ceylan;I-Chao Shen.
international conference on computer graphics and interactive techniques (2016)
Mesh Parameterization Methods and Their Applications
Alla Sheffer;Emil Praun;Kenneth Rose.
(2006)
Parameterization of Faceted Surfaces for Meshing using Angle-Based Flattening
A. Sheffer;E. de Sturler.
Engineering With Computers (2001)
Cross-parameterization and compatible remeshing of 3D models
Vladislav Kraevoy;Alla Sheffer.
international conference on computer graphics and interactive techniques (2004)
ABF++: fast and robust angle based flattening
Alla Sheffer;Bruno Lévy;Maxim Mogilnitsky;Alexander Bogomyakov.
ACM Transactions on Graphics (2005)
Periodic global parameterization
Nicolas Ray;Wan Chiu Li;Bruno Lévy;Alla Sheffer.
ACM Transactions on Graphics (2006)
Fundamentals of spherical parameterization for 3D meshes
Craig Gotsman;Xianfeng Gu;Alla Sheffer.
international conference on computer graphics and interactive techniques (2003)
High resolution passive facial performance capture
Derek Bradley;Wolfgang Heidrich;Tiberiu Popa;Alla Sheffer.
international conference on computer graphics and interactive techniques (2010)
D-Charts: Quasi-Developable Mesh Segmentation
Dan Julius;Vladislav Kraevoy;Alla Sheffer.
Computer Graphics Forum (2005)
Curved folding
Martin Kilian;Simon Flöry;Zhonggui Chen;Niloy J. Mitra.
international conference on computer graphics and interactive techniques (2008)
If you think any of the details on this page are incorrect, let us know.
We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:
Tel Aviv University
New Jersey Institute of Technology
École Polytechnique
City University of Hong Kong
Simon Fraser University
University College London
Hebrew University of Jerusalem
King Abdullah University of Science and Technology
Reichman University
University of Toronto
Dalle Molle Institute for Artificial Intelligence Research
RWTH Aachen University
University of Wuppertal
Vanderbilt University
University of Cologne
University of North Carolina at Chapel Hill
Seattle Children's Hospital
Cincinnati Children's Hospital Medical Center
ETH Zurich
University of Surrey
Swedish Museum of Natural History
Waseda University
Cardiff University
University of Genoa
University of Amsterdam
Medical University of Vienna