3D Interior Design Generation from Floor Plans
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Solution Overview
Problem
Current interior design techniques are not fully automated and do not utilize scientific ergonomic databases, leading to time-consuming and costly processes, and are often restricted to specific visualization platforms, lacking user customization and efficiency.
Innovation Solution
A system and method that generates a three-dimensional interior design representation from a floor plan using image processing and computer vision techniques, including modules for shape determination, object position calculation, and placement, based on neural networks and Gaussian normal distributions, allowing for user customization and platform-independent visualization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual interior design techniques are used by skilled designers, then design quality and functionality are improved, but time consumption and cost increase significantly
Solution Approach 1:
The patent replaces manual mechanical design processes with an automated computer-based system that uses image processing, neural networks, and algorithmic object placement to generate interior designs automatically from floor plan images, eliminating the need for manual sketching and iteration while maintaining design quality
Solution Approach 2:
The system enables self-service interior design generation where users can input their own floor plan images and receive automated design suggestions without requiring skilled designer intervention, allowing end-users to generate professional-quality designs independently
2Ease of operation
If existing online interior design tools are used, then visualization capability is improved, but platform dependency and lack of customization increase
Solution Approach 1:
The patent creates a universal system that can process floor plan images from any source and generate interior designs that can be visualized across multiple platforms including web browsers, mobile devices, and desktop applications, eliminating platform dependency through standard image input and output formats
3Productivity
If existing interior design techniques are used, then basic design generation is achieved, but automation level and efficiency remain insufficient
Solution Approach 1:
The patent replaces manual design mechanics with automated image processing pipelines that use neural networks for object position determination and Gaussian distributions for object placement, achieving high-level automation that processes designs algorithmically rather than through manual intervention
Solution Approach 2:
The system introduces intermediate processing stages including image preprocessing, feature extraction, neural network inference, and algorithmic object placement that mediate between input floor plans and final designs, enabling sophisticated automation while maintaining design quality through structured intermediate representations
Data Source
AI summary
The present disclosure provides systems and methods for generating an interior design pertaining to a floor plan and creating a three-dimensional (3D) representation of the interior design for achieving high quality interior décor for residential as well as commercial properties. An aspect of the present disclosure pertains to a system for generating and visualizing the interior design in the 3D representation that includes a two-dimensional image receive module to receive a two-dimensional input image of the floor plan, a shape determination module to determine shape of a defined space of the floor plan, an object position determination module to determine position of one or more objects in the defined space, an object placement module to place the one or more objects in the defined space, and a three-dimensional representation generation module to generate a 3D representation of the interior design pertaining to the floor plan.