Abstract
With the rapid development of computer technology, shape matching technology has become a research hotspot in computer vision and other fields. Many shape matching methods have been successfully applied to face recognition, text recognition and other issues. Building elements are an important part of geospatial elements. They have obvious visual features such as right angle turning and axis symmetry. Their shape matching is an important foundation in the problems of comprehensive simplification and data fusion. The basic process of shape matching includes extracting a certain shape representation factor and similarity measurement under the shape representation. The existing shape matching methods are mostly based on the characteristics of some aspects of the shape, but do not comprehensively consider the differences between the shape representations relationship and cognitive perspective, there is no reasonable explanation for the fusion of different cognitive perspectives and numerical scale shape representations by artificially defining weights. In this paper, case-based reasoning technology is used to match the architectural design. The experimental analysis shows that the matching effect has certain advantages.
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