After both getting their master’s diploma from TU Delft, Ruben and Mark will be working for their PhD’s.
We have a new PhD joining our group, Mathijs, welcome!
Today Leonardo Scandolo successfully defended his thesis, Image-based Representations for Efficient Rendering and Editing, in Senaatszaal, the Aula. Congratulations to Dr. Scandolo!
Dr. Scandolo will continue his research as a post-doc in Delft.
You are kindly invited to join the colloquium “Image Synthesis of the Future” on the 18th from 14:00 – 16:00 in the Social Data Lab of the VMB building. During this event, we will experience several renowned speakers:
Ulf Assarsson of Chalmers University
Prof. Assarsson is an expert in real-time shadow computation and large-scale scene representations, including applications to 3D printing.
Jacco Bikker of Utrecht University
Dr. Bikker is the author of the famous Brigade renderer, a path tracer for real-time applications.
Jacob Munkberg of NVIDIA research
Dr. Munkberg worked for Intel and NVIDIA and is responsible for many influential papers on image reconstruction for real-time rendering.
Prof. Stamminger, chair for computer graphics in Erlangen, is known for his many contributions to real-time rendering, including the seminal work on perspective shadow maps, as well as 3D reconstruction and VR/stereo rendering applications.
Each of the speakers will share their insights on the domain and share their views on the field.
We have a new PhD joining our group, Marcos, welcome!
We have a new PhD joining our group, Mijael Bueno Perez, welcome!
Mijael received a B.Eng. (2014) in Electronics and Computer Systems Engineering at the Western Institute of Technology and Higher Education (Mexico) and a M.Sc. (2017) in Human-Technology Interaction at Eindhoven University of Technology (the Netherlands).
You are cordially invited to attend our CG Colloquium on Thursday, May 16, 2019, 15:45-17:45h, at Pulse-Technology.
The program features the following two speakers:
Title: Improving video analysis for the Olympic dinghy class sailing coaches and athletes
Abstract: Nowadays technology and data analytics are becoming increasingly intertwined with sports. The data can help assess performance during training and in competitive settings. However, for most sailors in the Olympic dinghy class it holds that the use of sensors during training is not standard practice and not allowed during races. To record and review their performance the coaches and athletes make use of video, shot (often by holding a camera in hand) from the a coach boat. The goal is to improve the capture, processing and analysis of videos used to train sailing athletes in the dinghy class. More specifically, the stabilization and quality of the footage taken from the coach boat that follows athletes will be improved. Next to this, of the entire recorded session only the interesting parts for the coach and athletes will be highlighted and extracted. To achieve this segmentation into clips object tracking will be used as well as methods to detect sailing manoeuvres. From these video clips the heel angle, position in boat and rudder movements can be extracted or enhanced to support the coaches in their assessment. The proposed approach should lead to a time-saving method to extract more information from the videos previously possible to support the training of the dutch Olympic sailing team.
Levi van Aanholt
Title: Semantic Tile Solving for Procedural Generation of Architectural Spaces
Abstract: We present an offline tile solving technique to generate complex architectural spaces. The generation is controlled by the notion of an architectural profile. An architectural profile allows to declaritively control spatial creation. It consists of semantic tiles representing building elements and declarative rules to control the generation according to architectural relations. This problem is converted to an ASP logic program and subsequently solved by an ASP solver. Our technique results in a declarative architecture generator that unifies procedurally generating building exterior, building interior and traversal in one system.
Today Nicola Pezzotti successfully defended his thesis, Dimensionality-Reduction Algorithms for Progressive Visual Analytics, in Senaatszaal, the Aula. Congratulations to Dr. Pezzotti!
Dr. Pezzotti graduated cum laude for his high-impact work carried out during his study at TU Delft.