Events consist of objects in motion. When objects move, their opaque surfaces reflect light and produce both static image structure and dynamic optic flow. The static and dynamic optical information co-specify events. Patients with age-related macular degeneration (AMD) and amblyopia cannot identify static objects because of weakened image structure. However, optic flow is detectable despite bl...

This contribution focuses on different topics covered by the special issue titled ‘Hardware Implementation of Machine vision Systems’ including FPGAs, GPUS, embedded systems, multicore implementations for image analysis such as edge detection, segmentation, pattern recognition and object recognition/interpretation, image enhancement/restoration, image/video compression, image similarity and ret...

Motion as a fundamental visual dimension Functional aspects of image motion processing (I) Encoding of the third dimension (2) Time to collision (TTC) (3) Image segmentation (4) Motion as a proprioceptive sense (5) Motion as a stimulus to drive eye movements (6) Motion as required for pattern vision (7) Image motion processing as useful for perceiving real moving objects Temporal integration of...

Image registration finds a variety of application in computer vision, such as image matching for stereo vision, pattern recognition and motion analysis. This paper focuses on pyramid LK algorithm, which tracks starting from highest level of an image pyramid (lowest detail) and working down to lower levels (finer detail). Tracking over image pyramids allows track points of interest despite large...

In normal vision our gaze leaps from detail to detail, resulting in rapid image motion across the retina. Yet we are unaware of such motion, a phenomenon known as saccadic suppression. We recorded neural activity in the middle temporal and middle superior temporal cortical areas during saccades and identical image motion under passive viewing conditions. Some neurons were selectively silenced d...

The apparent motion reveals what in an image that human vision detects first. Chen's assumption that early stage vision can percept global topology is proved incorrect in theory and experiments. Based upon psychological studies on human vision, a new theory, the blurred matching, was introduced into visual computation which well fits the results of all experiments about apparent motion, Chen's ...

PURPOSE From static blurry images, it is difficult to perceive objects because high spatial frequency details are filtered out. However, in the context of events (defined as objects in motion), motion generates optic flow, which provides a depth map of 3D layout and allows good event perception. Visual motion measurement uses low spatial frequencies that remain available in blurry images, makin...

Motion detection is a very important problem both in video image coding and in computer vision. In video coding, motion detection is a necessary task for motion-compensated predictive coding and motion-adaptive frame interpolation to reduce the required channel bandwidth. In computer vision systems, motion detection can be used to infer the 3-D motion and surface structure of moving objects wit...