Brain-inspired Computer Vision

The last decade has seen an exponential growth of effective computer vision systems in many sectors, such as medical imaging, smart phones and tablets, smart car applications, robotics, satellite imaging, industrial visual inspection and navigation systems. 

Computer Vision is the field where images are analyzed by computer, for many purposes, such as recognition, segmentation, enhancement, registration, and quantitative analysis. Medical computer-aided diagnosis systems are developed for a wide range of diseases, in particular for high-volume screening purposes.

Computer-aided diagnosis in medical imaging is not only needed due to the staggering amount of images produced today, but also requires sophisticated and innovative algorithms. The human brain typically still outperforms most of the state-of-the-art algorithms of today. Even while using only 25 watts, and working at low frequencies, it can recognize objects in the scene almost instantly, analyze the contents of very complex scenes effortlessly, and is able to efficiently learn from previous experiences. How can we learn, how to do the bio-mimicking?

The spirit of this one-week Summer School is inspired by the visual brain, one of the most important brain research topic of today. We aim to design powerful image analysis tools and algorithms from inspired by the biology and structure of the brain. We study and discuss in-depth the anatomy, mechanisms and mathematical models of visual perception, and build powerful, modern and innovative applications for computer-aided diagnosis and computer vision. Vision for Vision.

The speakers are well-known researchers in the field of brain-inspired computing:

Prof. Bart M. ter Haar Romeny

Prof. Bart ter Haar Romeny
Northeastern University, Shenyang
Eindhoven University, Netherlands

Dr. George Azzopardi

Dr. George Azzopardi
Malta University, Malta
Groningen University, Netherlands

Topics include:

Computer Vision (for robotics, smart car imaging, industrial inspection, navigation maps)
Computer-Aided Diagnosis (retinal image analysis, cancer detection, microscopy, diabetes)
Visual Perception (computational modeling, modern brain research findings)

This fifth edition of the Summer School continues the tradition of the much appreciated coherence, excellent tutorial speaker, a well-designed computer hands-on lab, and a guided tour to the world-class industrial partner in Shenyang, Neusoft.

The Summer School is resolutely international, and accessible to both young scientists and senior staff. The target audience of the summer school consists of anyone at PhD, advanced MSc and staff level, with interest in modern computer vision techniques. A background in computer science, biomedical engineering, electrical engineering and/or mathematics will certainly be helpful. We also invite participants with a relevant industrial research background.

The content of the summer school is based on the tutorial book "Front End Vision and Multi-Scale Image Analysis", by prof. B.M.ter Haar Romeny, and several classical papers, to be handed out during the Summer School.

Access is limited to 50 participants. Travel costs and accommodation are to be covered by the participants. A certificate is handed out after successful attendance of the Summer School.

Register here.

Interactive brain tractography
of the optical pathways
Automatic polyp detection
in virtual colonoscopy
Retinal image analysis
Traffic computer vision applications. Contextual edge detection

Participants of ISS 2014.