Danny Cohen-Or, Tel Aviv University
Daniel Cohen-Or is a Professor at the School of Computer Science at Tel-Aviv University. He received a Ph.D. from the Department of Computer Science (1991) at State University of New York at Stony Brook. He is the recipient of the 2005 Eurographics Outstanding Technical Contributions Award. His current research interest includes, shape modeling, surface reconstruction, image processing and synthesis.
Title: Surface Reconstruction Techniques for Imperfect Raw-data
In my talk I will present some surface reconstruction techniques that handle imperfect data. Such data is common in raw scans and contains large missing parts, ghost outliers and under-sampled regions. We explore reconstruction techniques that focus on such problematic regions. Our general goal is recovering the expected shape in terms of global topology and local geometric detail. I will present different methods that focus on several essential problems of imperfect data reconstruction: In the first part I will present a deformable model method that recovers a watertight surface and well interprets the topology of imperfect scans. Then, I will briefly introduce an interactive topology-aware reconstruction method that uses minimal user input to correctly reconstruct regions where the topology of the model cannot be automatically induced. I will also show how the reconstruction can be improved with use of local priors. Finally, if time permits, I will present some recent results on the registration of noisy scan.