Spatial Reasoning: Learning from Observations

Mirsad Hadzikadic; Su-shing Chen

doi:10.1117/12.969980

1 March 1990 Spatial Reasoning: Learning from Observations

Mirsad Hadzikadic, Su-shing Chen

Proceedings Volume 1198, Sensor Fusion II: Human and Machine Strategies; (1990) https://doi.org/10.1117/12.969980
Event: 1989 Symposium on Visual Communications, Image Processing, and Intelligent Robotics Systems, 1989, Philadelphia, PA, United States

Abstract

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.

Citation Download Citation

Mirsad Hadzikadic and Su-shing Chen "Spatial Reasoning: Learning from Observations", Proc. SPIE 1198, Sensor Fusion II: Human and Machine Strategies, (1 March 1990); https://doi.org/10.1117/12.969980

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