Virtual Room Mapping from 2D Images for LiDAR-Free Design
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Solution Overview
Problem
Conventional room design methods are tedious, time-consuming, and often fail to accurately depict room dimensions and object placement, requiring manual measurements or costly LiDAR devices, and lack intuitive customization options for furniture and objects.
Innovation Solution
A software application uses image analysis to determine the floorplan and dimensions of a room from a 2D image, generating a 3D virtual space with customizable objects, allowing for efficient and visually accurate room design without LiDAR, using machine learning to identify planes and vertices, and a chat interface for product customization and on-demand rendering.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual measurements are used to determine room dimensions, then measurement precision can be achieved, but time consumption and operational complexity increase significantly
Solution Approach 1:
The patent creates a digital copy of the physical room by capturing images and generating a 3D virtual model. Instead of manually measuring physical dimensions, the system copies the room's geometric structure into a digital representation using computer vision algorithms that automatically extract spatial information from images, thereby eliminating time-consuming manual measurements while maintaining dimension accuracy.
Solution Approach 2:
The patent replaces the mechanical measurement process (manual measuring tools and physical measurement actions) with an optical-digital system. Cameras capture images, and machine learning algorithms automatically process these images to determine room dimensions, substituting mechanical measurement operations with automated image analysis and computational geometry.
2Measurement precision
If LiDAR devices are used to measure room dimensions, then measurement precision and speed improve, but device cost and accessibility worsen
Solution Approach 1:
The patent replaces expensive, specialized LiDAR measurement devices with common, inexpensive smartphone cameras. Instead of requiring dedicated measurement equipment, the system uses widely available mobile devices that users already possess, making the technology accessible without additional cost while achieving sufficient measurement precision through advanced image processing algorithms.
Solution Approach 2:
The patent substitutes the optical-ranging mechanism of LiDAR with a photographic imaging system. Instead of using laser time-of-flight measurements, the system uses standard camera imaging combined with machine learning to infer spatial dimensions, replacing specialized measurement hardware with general-purpose imaging devices and computational methods.
3Reliability
If conventional 3D modeling approaches are used, then detailed virtual models can be created, but time consumption and operational complexity increase significantly
Solution Approach 1:
The patent performs preliminary actions by automatically capturing room images and pre-processing them through machine learning algorithms before the user needs to design or visualize furniture. The system pre-generates the 3D virtual model structure, extracts spatial constraints, and prepares the environment for subsequent design operations, eliminating the need for users to spend time on manual modeling tasks.
Solution Approach 2:
The patent enables the system to serve itself by automatically performing the entire workflow from image capture to 3D model generation without requiring user intervention in the modeling process. The machine learning algorithms autonomously analyze images, extract geometric information, construct the virtual space, and prepare it for furniture placement, making the system self-sufficient and eliminating time-consuming manual operations.
4Manufacturing precision
If digital models of objects are created in advance, then manufacturing precision and object detail are improved, but adaptability and ease of operation worsen
Solution Approach 1:
The patent implements dynamic adaptability by allowing furniture and object parameters to be modified in real-time within the virtual environment. Instead of using fixed pre-defined models, the system enables users to adjust dimensions, materials, colors, and configurations of objects dynamically, with the virtual models adapting to user preferences and spatial constraints while maintaining geometric accuracy.
Solution Approach 2:
The patent creates universal object models that can serve multiple functions and configurations. Instead of requiring separate detailed models for each specific furniture variant, the system uses parametric models that can be customized to represent different styles, sizes, and configurations of the same object type, providing both precision and versatility through a unified modeling approach.
Data Source
AI summary
Systems and methods for facilitating room design from an image of a room or other space. For example, embodiments of the present invention can determine dimensions of a physical space based on objects depicted in the image of the room. One or more processors can generate a three dimensional virtual space based on the determined dimensions of the physical space depicted in the image of the room.