Prof. Stricker presented at the INNOSPACE event of Airbus, ESA and HBO the current state of the art of Augmented Reality and newest results about how to automate content creation (see start-up www.ioxp.de) and initialize 3D tracking without any preparation or set-up work.
It is a great honour to announce that our Horizon2020 project LARA, won the Madrid Challenge of the European Satellite Navigation Competition, ESNC 2017. GeoImaging from Nicosia, coordinator and technology partner of LARA project together with SignalGeneriX from Limassol, a technology partner of the project, received the prestigious award on behalf of the LARA consortium.
The ESNC Awards Ceremony took place November 7, 2017 in front of an international audience during the European Space Week 2017 in Tallinn, Estonia.
Dr Stylianidis, coordinator of LARA project and Dr Tasos Kounoudes of SignalGeneriX receive the award from the Director of the GSA, Mr Carlo des Dorides
The ESNC annually awards the best services, products, and business ideas using satellite navigation in everyday life, spurring the development of respective market-driven applications.
This award is a confirmation of success for all the hard work invested by all project partners especially now that the project enters the commercialization phase.
A complete list of this year’s ESNC winners is available at the ESNC 2017 Hal of Fame.
The group Augmented Vision implemented an embedded and ultra-low power machine learning recognition algorithm, which has been tested in the context of trials at the Albertina Museum in Vienna, Austria. The Eyes of Thing is a visual IoT System with AI capability. It has been jointly developed with 8 partners across Europe over the last three years and anticipated the current and very fast development of Embedded Machine Vision using Learning Techniques. High-level computer vision and machine learning are being embedded in more and more devices, paving the way to many new applications.
See the video of the trials, by our partner Fluxguide:
Paper #1 : Fusion of Keypoint Tracking and Facial Landmark Detection for Real-Time Head Pose Estimation by
Paper #2: SceneFlowFields: Dense Interpolation of Sparse Scene Flow Correspondences by
Paper #3: 3D Shape Processing by Convolutional Denoising Autoencoders on Local Patches by
Please follow this link https://www.dfki.de/web/presse/pressemitteilung/2017/alterego for the German press release.
Check out this and other job opportunities here.
Congratulations to our colleagues for this success!
The department Augmented Vision demonstrates its object tracking technology “Augmented Things” at ISMAR 2017 in Nantes! This technology allows to augment any object for everyday use – the tracking is especially robust in difficult light conditions and under partial occlusion. Besides the demonstrator “Augmented Things”, the department Augmented Vision presents two publications:
A Probablistic Combination of CNN and RNN Estimates for Hand Gesture Based Interaction in Car
3DV is a rapidly growing conference focusing on all aspects of 3D vision and 3D processing.
3DV provides “a premier platform for disseminating research results covering a broad variety of topics in the area of 3D research in computer vision and graphics, from novel optical sensors, signal processing, geometric modeling, representation and transmission, to visualization and interaction, and a variety of applications”.
Our following papers has been accepted and will be presented at the conference in Qingdao from October 10th-12th 2017:
Paper # 1: Simultaneous Hand Pose and Skeleton Bone-Lengths Estimation from a Single Depth Image by Jameel Malik, Ahmed Elhayek, and Didier Stricker.
Paper # 2: Fast and Efficient Depth Map Estimation from Light Fields by Yuriy Anisimov and Didier Stricker.
Paper # 3: Learning Quadrangulated Patches for 3D Shape Parameterization and Completion by Kripasindhu Sarkar, Kiran Varanasi, and Didier Stricker.
Paper # 4: Scalable Dense Monocular Surface Reconstruction by Mohammad Dawud Ansari, Vladislav Golyanik, and Didier Stricker.
Paper # 5: High Dimensional Space Model for Dense Monocular Surface Recovery by Vladislav Golyanik and Didier Stricker.
Paper # 6: Multiframe Scene Flow with Piecewise Rigid Motion by Vladislav Golyanik, Kihwan Kim, Robert Maier, Matthias Nießner, Didier Stricker, and Jan Kautz.
The papers will be shortly available on our webpage.