by Martina Haefeli | May 8, 2015 | Rendering, Visual Computing
Recent Advances in Adaptive Sampling and Reconstruction for Monte Carlo Rendering In this paper, we survey recent advances in this area. We distinguish between “a priori” methods that analyze the light transport equations and derive sampling rates and...
by Martina Haefeli | May 4, 2015 | Video Processing, Visual Computing
Key-frame Based Spatiotemporal Scribble Propagation We present a practical, key-frame based scribble propagation framework. May 4, 2015WICED 2015 Authors Pelin Dogan (Disney Research/ETH Joint M.Sc.) Tunc Aydin (Disney Research) Nikolce Stefanoski (Disney...
by Martina Haefeli | May 2, 2015 | Video Processing, Visual Computing
Panoramic Video from Unstructured Camera Arrays In this paper we extend the basic concept of local warping for parallax removal. May 2, 2015Eurographics 2015 Authors Federico Perazzi (Disney Research/ETH Zürich) Alexander Sorkine-Hornung (Disney Research)...
by Martina Haefeli | Feb 27, 2015 | AR/VR, Story Technology, Visual Computing
Computer-Assisted Authoring of Interactive Narratives We present a new design formalism, Interactive Behavior Trees (IBT’s), which decouples the monitoring of user input, the narrative, and how the user may influence the story outcome. February 27, 2015ACM SIGGRAPH...
by Martina Haefeli | Jan 25, 2015 | Machine Learning
The Boundary Forest algorithm for online supervised and unsupervised learning We describe a new instance-based learning algorithm called the Boundary Forest (BF) algorithm, that can be used for supervised and unsupervised learning. The algorithm builds a forest of...
