by Martina Megaro | Jul 22, 2017 | Capture, Visual Computing
A Practical Method for Fully Automatic Intrinsic Camera Calibration Using Directionally Encoded Light We propose a novel calibration method based on the usage of directionally encoded light rays for estimating the intrinsic parameters. July 22, 2017IEEE Conference...
by Martina Megaro | Jul 20, 2017 | Rendering, Visual Computing
Spectral and Decomposition Tracking for Rendering Heterogeneous Volumes We present two novel unbiased techniques for sampling free paths in heterogeneous participating media. July 20, 2017ACM SIGGRAPH 2017 AuthorsPeter Kutz (Walt Disney Animation Studios)Ralf Habel...
by Martina Megaro | Jul 20, 2017 | Rendering, Visual Computing
Kernel-Predicting Convolutional Networks for Denoising Monte Carlo Renderings We introduce a deep learning approach for denoising Monte Carlo-rendered images that produces high-quality results suitable for production. July 20, 2017ACM SIGGRAPH 2017 Authors...
by Martina Megaro | Jul 20, 2017 | Digital Fabrication, Robotics
A Computational Design Tool for Compliant Mechanisms We present a computational tool for designing compliant mechanisms. July 20, 2017ACM SIGGRAPH 2017 Authors Vittorio Megaro (Disney Research/ETH Joint PhD) Jonas Zehnder (Disney Research) Moritz Baecher...
by Martina Megaro | Jul 20, 2017 | Digital Fabrication, Visual Computing
Computational Design and Automated Fabrication of Kirchhoff-Plateau Surfaces We propose a computational tool for designing Kirchhoff-Plateau Surfaces-planar rod networks embedded in pre-stretched fabric that deploy into complex, three-dimensional shapes. July 20,...
