Active vision in autonomous robot navigation Mark Peters Vision and learning applied to understanding human movement Partha Roop Embedded systems specification and design Charles Willock Paul Wong notes Vision research has now diversified into several research programmes, each specialising in relating visual information, aspects of the outside world, to machine behaviour or machine representations. In several more recent approaches to vision a variety of holistic strategies is being attempted, such as the integration of motion and image understanding in guiding visual learning. In discussing human vision, it is often still necessary to use behavioural indices to help explain what is happening. Similarly, it is necessary for our definition of machine vision to be determined by the particular application or problem being addressed at the time. It is to be hoped, of course, that what we learn in solving specific machine vision problems will contribute to our general understanding of vision, whether machine or biological.
Vision is a broad and interdisciplinary area.
The focus of research in this group is mainly middle and higher level vision, which deal with extracting and labelling objects in images, and interpreting scenes. The group also has interest in applying machine learning techniques to vision problems. The field of pattern recognition addresses pattern in all forms, not just that of optical data. Other examples include audio data and statistical data. These systems deal with actual cursive handwriting, not just printed characters.