Publicado em: 23/04/2014

Palestra com Prof. Diego Nehab do IMPA

No dia 25/4 – sexta-feira, o Prof. Diego Nehab do Instituto de Matemática Pura e Aplicada (IMPA) estará visitando o Instituto de Informática e proferirá palestra intitulada “A Fresh Look at Generalized Sampling”, às 14:00, no Auditório do prédio 67 (Prédio Novo).

Título: A Fresh Look at Generalized Sampling

Abstract

Discretization and reconstruction are fundamental operations in computer graphics, enabling the conversion between sampled and continuous representations. Major advances in signal-processing research have shown that these operations can often be performed more efficiently by decomposing a filter into two parts: a compactly supported continuous-domain function and a digital filter. This strategy of “generalized sampling” has appeared in a few graphics papers, but is largely unexplored in our community. This talk broadly summarizes the key aspects of the framework, and delves into specific applications in graphics. Using new notation, I concisely present and extend several key techniques. In addition, I demonstrate benefits for prefiltering in image downscaling and supersample-based rendering, and analyze the effect that generalized sampling has on the noise due to Monte Carlo estimation. We conclude with a qualitative and quantitative comparison of traditional and generalized filters.

Short Bio:

Diego Nehab received a B.Eng. in Computer Engineering in 1999 and a M.Sc. in Computer Science in 2002 from PUC-Rio University. He obtained his Ph.D. in 2007 from Princeton University, where he developed new techniques for high-quality 3D shape acquisition. Before joining IMPA as a researcher in May 2000, he worked as a post-doctoral researcher at Microsoft Research, under the supervision of Hugues Hoppe.