House type space matching method and device based on thin geometric plane spline interpolation

Abstract

The invention provides a house type space matching method based on thin geometric plane spline interpolation. The method comprises the following steps: receiving an input house type image, segmenting a house type region, and obtaining a house type space; extracting all feature data in the house type space and carrying out unified feature mapping processing on the wall body, door and window feature data; matching the house type space feature mapping matrix with different levels of clustering centers of a house type space matching database according to the functional region to which the house type space belongs, obtaining the maximum value of the overlapping degree of the house type space and the clustering center of each layer of clustering, and determining the clustering category to which the house type space belongs according to the maximum value of the overlapping degree; and returning a house type space matching result according to the cluster category to which the house type space belongs. According to the method, the problem that traditional house type matching cannot be matched under rotating and mirroring conditions can be solved, and relative positions of doors and windows in a house type space are considered, so that the reliability of successful matching is improved, and the design efficiency of home decoration design is greatly improved.

Description

technical field [0001] The invention relates to the field of home decoration design, in particular to a method and device for matching house type space based on thin geometric plane spline interpolation. Background technique [0002] With the development of the real estate industry, people have more and more demands on home decoration design for purchasing real estate. Before the formal decoration, they also hope to refer to the decoration design of the same type of house, and improve it after selecting the design of the same type of house that they like. Then enter the design and decoration link of your own real estate. However, the current mainstream method of house type matching is based on contextual image analysis, and the similarity of house types is calculated through a convex geometric polygonal model for matching. However, it is easily affected by the scaling and rotation of the house type map, resulting in the inability to match the corresponding house type space, ...

AI Technical Summary

Problems solved by technology

However, the current mainstream method of house type matching is based on contextual image analysis, and the similarity of house types is calculated through a convex geometric polygonal model for matching. However, it is easily affected by the scaling and rotation of the house type map, resulting in the inability to match the corresponding house type space, which is not conducive to demand personnel. Quickly screen out suitable apartment types as a reference, which leads to low efficiency in overall home decoration design, and when matching a single-family space, except for the outline information, the information of doors and windows is often more important than the wall information, which directly affects the moving line of the apartment space And the design of home decoration, so the position and size of doors and windows need to be considered when matching the apartment space

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