Spatial Reasoning: Learning from Observations
Mirsad Hadžikadić, Su-shing Chen · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 1990
This paper is concerned with a machine learning approach to spatial reasoning, under the goal of developing an intelligent system capable of sensor fusion, scene understanding, reasoning with spatial objects, and improving its performance over time. We integrate an incremental conceptual clustering system (INC) with a com-puter vision system, developed in our Artificial Intelligence and Computer Vision laboratories. The project consists of: (1) developing spatial knowledge models and cognitive functions within a spatial learning system, and (2) evaluating the plausibility, effectiveness, and constraints of the system in both the general-type spatial reasoning tasks in cognitive systems and the following scene analysis/understanding tasks: sensor fusion, object recognition, model instantiation, image/scene description, and reasoning about a scene.