Interior home style and colour matching design method based on Bayesian network

Abstract

The invention discloses an interior home style and colour matching design method based on a Bayesian network. The interior home style and colour matching design method comprises the following steps of: (1), collecting interior style and colour design schemes; (2), labelling downloaded design schemes; (3), clustering colours of every classes of objects; (4), training the Bayesian network; (5), performing colour recommendation for a 3D indoor scene; (6), performing diversified adjustment of colours; and (7), transferring colours obtained by design onto textures, and pasting the textures on a 3D scene model. According to the interior home style and colour matching design method disclosed by the invention, the relationship of a decorative style and furniture colour matching is coded from excellent interior design schemes (pictures) by utilizing the Bayesian network; the method can be used for designing furniture colour matching in the indoor scene; according to user requirements on the decorative style, the system disclosed by the invention can recommend furniture colour matching in the indoor scene according with the style; convenient and rapid effect display can be provided for urban home decoration markets, 3D game animations and virtual reality scenes in our country; and thus, the interior home style and colour matching design method has practical popularization value.

Description

technical field [0001] The invention relates to the technical field of automatically matching and designing indoor furniture colors, in particular to a method for designing indoor home furnishing style and color matching based on a Bayesian network. Background technique [0002] In interior design, in addition to considering the layout of furniture, color design is also a very important factor. Psychological research points out that color can affect people's mood and stimulate people's certain emotions. For example, warm colors generally convey warmth and positive emotions, while cool colors convey a feeling of coolness. In terms of impact on space, cool colors can expand the spatial distance of a small room; warm colors make a large room look vibrant. However, coloring an object in a 3D space is a challenging problem. Factors to consider include the occupant's preferences, the function of the room, the effect of color on the space, color matching, and the color itself. ...

AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is to overcome the problem that the current color design of indoor scenes mainly relies on manual design, and other automatic methods are either applied to the coloring of complex object parts, or only recommend materials for general scenes without decoration style design. Provides a method for interior home style and color matching design based on Bayesian network, which can realize automatic matching of furniture colors according to the color preference of home decoration style

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