by Martina Megaro | 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 Megaro | 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 Megaro | 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...
by Martina Megaro | Jan 25, 2015 | Machine Learning
Proximal operators for multi-agent path planning We address the problem of planning collision-free paths for multiple agents using optimization methods known as proximal algorithms. January 25, 2015Association for the Advancement of Artificial Intelligence (AAAI)...
by Martina Megaro | Jan 6, 2015 | Machine Learning, Visual Computing
Extending the Performance of Human Classifiers using a Viewpoint Specific Approach This paper describes human classifiers that are ‘viewpoint specific’, meaning specific to subjects being observed by a particular camera in a particular scene. January 6,...
