Jakob Engel receives EMVA Young Professional Award 2014
Novel visual odometry method for a monocular camera
In his awarded work Engel developed a novel, semi-dense method to estimate the 3D movement of a monocular camera from the recorded video and simultaneously estimating the 3D structure of the environment. The underlying task is called (monocular) visual odometry, and is used for e.g. augmented- or virtual reality applications or the autonomous navigation of robots. In contrast to the classical keypoint-based approach, the proposed semi-dense, direct formulation allows to utilize all information in the video, achieving superior tracking accuracy and much more detailed reconstructions, while still running in real-time even on a modern smartphone.
Young professional award part of EMVA Business Conference
The EMVA Young Professional Award is an annual award to honor the outstanding and innovative work of a student or a young professional in the field of machine vision or image processing. It is the goal of the European Machine Vision Association EMVA to further support innovation in the machine vision industry, to contribute to the important aspect of dedicated machine vision education and to provide a bridge between research and industry. With the annual Young Professional Award the EMVA intends to specifically encourage students to focus on challenges in the field of machine vision and to apply latest research results and findings in computer vision to the practical needs of the industry. The awardee was announced on May 17 during the 12th EMVA Business Conference in Vienna/Austria, where he also had the opportunity to present his work as part of the regular conference program.
The 13th EMVA Business Conference will take place in spring 2015 in Athens/Greece.
European Machine Vision Association
Founded in May 2003 in Barcelona, the European Machine Vision Association currently has about 120 members representing 22 nations. Its aim is to promote the development and use of machine vision technology and to support the interests of its members - machine vision companies, research institutions and national machine vision associations. The main fields of work of EMVA are: standardization, statistics, the annual EMVA Business Conference and other networking events, European research funding, public relations and marketing. To find out more visit the web site www.emva.org.