Prof. Pablo Artal – Laboratorio de Óptica (LOUM), Universidad de Murcia
Prof. Lourdes Agapito – Vision and Imaging Science group, University College London (UK)
My research in Computer Vision has consistently focused on the inference of 3D information from the video acquired from a single moving camera. While my early research focused on static scenes, my attention soon turned to the much more challenging problem of estimating the 3D shape of non-rigid objects (Non-Rigid Structure from Motion, NR-SFM) or complex dynamic scenes where an unknown number of objects might be moving, possibly deforming, independently. My research group investigates all theoretical and practical aspects of NRSFM: deformable tracking; dense optical flow estimation and non-rigid video registration; 3D reconstruction of deformable and articulated structure and dense 3D modelling of non-rigid dynamic scenes.
I have held an ERC Starting Grant funded by the European Research Council from 2008-2014. I am a member of the Vision and Imaging Science group and the Centre for Inverse Problems.
More info: http://www0.cs.ucl.ac.uk/staff/L.Agapito/
Carlos A. Vanegas – engineering in Bright Machines
Carlos is Sr. Director for Software Engineering at Bright Machines, where he’s helping build and run the engineering teams that are creating the core technology behind intelligent, software-defined manufacturing. He was a senior software architect of the Forge Data Platform, and he led the design of the data architecture, data models and data management components of the Autodesk cloud platform. Also worked with a team of product architects and product managers to identify common data modeling and data management needs across Autodesk architecture, engineering, construction and manufacturing products, including Revit, AutoCAD, Fusion, Inventor, Civil3D and Infraworks.
Carlos Vanegas was the Chief Technology Officer and a co-founder at Synthicity, where he led the engineering team in the development of software tools for 3D urban planning and design, including UrbanCanvas and GeoCanvas. He was a Postdoctoral Scholar at the University of California, Berkeley, and received his PhD from the Department of Computer Science at Purdue University in 2012. His work was focused on concurrent behavioral and geometric methods for fast design, editing and visualization of 3D urban spaces. Carlos published several peer reviewed papers in top computer graphics journals and conferences and held numerous invited talks at conferences and universities.
During his doctoral studies, Carlos was a Research Assistant at Purdue’s Computer Graphics and Visualization Lab, a visiting researcher at the Chair for Information Architecture at ETH Zürich, and a collaborator in several research projects with the Department of City and Regional Planning at UC Berkeley. He also was an intern software engineer at Procedural Inc. (acquired by Esri in 2011), where he participated in the development of CityEngine. Carlos obtained his B.S. degree in Applied Mathematics from EAFIT University (Colombia) in 2007.