
by Libor Král
Vision is a key factor in natural evolution, whether aiding a jellyfish to detect light or providing the supra-human ability of an eagle to spot its prey from miles away. The desire to enhance human vision through artificial means dates back several centuries, but it is not until the last twenty years or so that machine and computer vision took off. Today, as evidenced by the contributions to this ERCIM edition, it is a vibrant research field.
by Michal Haindl and Josef Kittler
Vision is the most important sense on which the majority of organisms depend for life. Scene reflectance properties in various spectral bands provide invaluable information about an object’s characteristics, including its shape, material, temperature, illumination and dynamism. This information, however, is very difficult to capture with an electronic device. A real visual scene to be captured is subject to variable illumination as well as variable observation conditions. Furthermore, single objects of interest can be partially occluded or shaded, may be positioned at various distances from the capturing device, data can be noisy and / or incomplete; thus successful interpretation of imaging sensor data requires sophisticated and complex analytical methods and computing power.
by Paula Crăciun and Josiane Zerubia
Earth observation satellites represent a significant resource when it comes to acquiring data about the Earth. Satellite data is used in a range of fields, including environmental monitoring, map updating and meteorology. Since the launch of the first Earth observation satellite, the resolution of the optical sensors installed on board has greatly improved, thus, nowadays, panchromatic images can be acquired at a resolution equal or lower than 0.7 [m] (ie GeoEye, Pleiades). This makes it possible to recognize small objects, such as boats and cars.
by Benjamin Risse, Xiaoyi Jiang, and Christian Klämbt
Video-based imaging of animal behaviour is commonly used in biomedical studies. Imaging small and translucent organisms, such as worms or larvae, however, tends to require sophisticated illumination strategies. We developed a novel technique to image the contact surface between organisms and substrate utilizing Frustrated Total Internal Reflection. This technique has a wide range of potential applications.