The paper describes a three-dimensional scene analysis technique, the goal of which is the segmentation of a sequence of images obtained from a stereoscopic camera system. The proposed scheme allows for continuous detection of new objects and tracking of those that have already been detected. Segmentation is the result of an algorithm that classifes disparity image points into one of a number of model surfaces. Objects are modelled with a set of second-degree surfaces described in the depth image space. The developed algorithm is to be implemented in an obstacle avoidance aid for visually impaired persons.
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