Abstract: A three-dimensional object recognizing system comprises a distance image generating portion for generating a distance image by using image pairs picked up by a stereoscopic camera, a grouping processing portion for grouping the distance data indicating the same three-dimensional object on the distance image, an input value setting portion for setting an area containing distance data group of grouped three-dimensional object on the distance image and also setting input values having typical distance data as elements every small area that is obtained by dividing the area by a set number of partition, a computing portion for computing output values having a pattern that responds to a previously set three-dimensional object by using a neural network that has at least the input values Xin as inputs to an input layer, and a discriminating portion for discriminating the type of the three-dimensional object based on the pattern of the output values.

Abstract: An image processor (1) for subjecting an image picked up by an imaging apparatus (21) to image processing to extract a specific object from the image, the image processor comprising: an image processing section (3) which subjects a plurality kinds of images (t, t?1, . . . , t?k) picked up by the imaging apparatus to the image processing based on a processing program comprising image filters (F) combined in a form of a tree structure, and which forms an output image (O) in which the specific object is extracted.

Abstract: A three-dimensional object recognizing system comprises a distance image generating portion for generating a distance image by using image pairs picked up by a stereoscopic camera, a grouping processing portion for grouping the distance data indicating the same three-dimensional object on the distance image, an input value setting portion for setting an area containing distance data group of grouped three-dimensional object on the distance image and also setting input values having typical distance data as elements every small area that is obtained by dividing the area by a set number of partition, a computing portion for computing output values having a pattern that responds to a previously set three-dimensional object by using a neural network that has at least the input values Xin as inputs to an input layer, and a discriminating portion for discriminating the type of the three-dimensional object based on the pattern of the output values.

Abstract: A distance detecting system for detecting a distance to an object from a moving body such an automobile by means of imaging pictures by an imaging apparatus and processing pictures into distance distribution information, the imaging apparatus having a capability of always providing proper image pictures under rapidly changing illuminance conditions, whereby securing an accuracy in the distance detecting system.

Abstract: A distance detecting system for detecting a distance to an object from a moving body such an automobile by means of imaging pictures by an imaging apparatus and processing pictures into distance distribution information, the imaging apparatus having a capability of always providing proper image pictures under rapidly changing illuminance conditions, whereby securing an accuracy in the distance detecting system.