Natural Object Recognition presents a totally new approach to the
automation of scene understanding. Rather than attempting to construct
highly specialized algorithms for recognizing physical objects, as is
customary in modern computer vision research, the application and
subsequent evaluation of large numbers of relatively straightforward
image processing routines is used to recognize natural features such as
trees, bushes, and rocks. The use of contextual information is the key
to simplifying the problem to the extent that well understood algorithms
give reliable results in ground-level, outdoor scenes.