by Martina Megaro | Dec 12, 2016 | Capture, Visual Computing
Real-time Physics-based Motion Capture with Sparse Sensors We propose a framework for motion capture using sparse multi-modal sensor sets, including data obtained from optical markers and inertial measurement units. December 12, 2016Conference for Visual Media...
by Martina Megaro | Nov 15, 2016 | Story Technology, Visual Computing
Evaluating Accessible Graphical Interfaces for Building Story Worlds We present an accessible graphical platform for content creators and end users to create a story world, populate it with smart characters and objects, and de fine narrative events that can be used...
by Martina Megaro | Nov 12, 2016 | Visual Computing
Semi-situated Learning of Verbal and Nonverbal Content for Repeated Human-Robot Interaction We present PIP, an agent that crowdsources its own multimodal language behavior using a method we call semi-situated learning. November 12, 2016ICMI 2016 Authors...
by Martina Megaro | Nov 11, 2016 | Capture, VFX, Visual Computing
Corrective 3D Reconstruction of Lips from Monocular Video We quantitatively and qualitatively show that our monocular approach reconstructs higher quality lip shapes, even for complex shapes like a kiss or lip rolling than previous monocular approaches. November 11,...
by Martina Megaro | Nov 11, 2016 | Rendering, Visual Computing
Image-Space Control Variates for Rendering We propose an image-space (iterative) reconstruction scheme that employs control variates to reduce variance. November 11, 2016ACM SIGGRAPH Asia 2016 Authors Fabrice Rousselle (Disney Research) Wojciech Jarosz (Dartmouth...
