Room Reconstruction with Parametric Layout and Material Rendering
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Solution Overview
Problem
Current technologies fail to provide consumers with an efficient and automated method for scanning whole rooms that offer sufficient visual fidelity, architectural details, detection of existing furniture, and viewpoint freedom for interactive digital twin creation.
Innovation Solution
A method and apparatus for automated room reconstruction that includes parametric model creation, architectural embellishment, and interactive design, enabling reconstruction of architectural details, detailed representations of foreground objects, and flexible viewpoint changes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If automated computer vision algorithms are used for indoor 3D reconstruction, then the process can be automated and consumer-friendly, but the accuracy and reliability of the reconstruction deteriorates due to challenging indoor lighting conditions, uniform textures, and lack of distinctive visual features
Solution Approach 1:
The patent introduces an intermediary active illumination system (projector) that mediates between the camera and the indoor environment. The projector casts structured light patterns onto surfaces, creating artificial distinctive features that the camera can reliably detect and use for accurate 3D reconstruction, overcoming the problem of uniform textures and lack of visual features in indoor settings
Solution Approach 2:
The patent changes the lighting parameters of the indoor environment by introducing active structured illumination. By projecting controlled light patterns with specific geometries and temporal variations, the system transforms the optical properties of the scene, creating measurable light reflections and shadows that provide reliable depth and geometry information for accurate reconstruction
2Measurement precision
If specialized hardware is used to improve reconstruction accuracy, then the reliability and precision improve, but the cost and device complexity increase making it unsuitable for widespread consumer use
Solution Approach 1:
The patent makes the reconstruction system universal by using a standard smartphone camera and projector combination that can be found in most consumer devices. The system processes multiple types of data (image sequences, depth maps, semantic information) through a unified framework, enabling the same hardware to achieve high precision reconstruction across diverse indoor environments without requiring specialized equipment
Solution Approach 2:
The patent creates a digital copy (3D model) of the physical indoor space with high precision. By capturing and processing visual information through structured illumination and multi-view imaging, the system reconstructs accurate geometric and semantic representations of rooms, furniture, and architectural elements, enabling virtual manipulation without physical movement
3Ease of operation
If consumers capture photography with limited attention and non-skilled operation, then the ease of operation is maintained, but the quality and completeness of captured data deteriorates leading to poor reconstruction results
Solution Approach 1:
The patent performs preliminary actions by automatically guiding the consumer through the scanning process. The system provides real-time feedback on coverage completeness, suggests optimal camera positions and angles, and automatically processes the captured images to fill in gaps. This preliminary guidance ensures that sufficient data is collected even when consumers operate with limited attention or skill
Solution Approach 2:
The patent implements feedback mechanisms that monitor the quality and completeness of captured photography in real-time. The system analyzes image sequences, detects coverage gaps, and provides immediate feedback to the consumer about what areas need additional scanning. This closed-loop feedback ensures complete data collection while maintaining ease of operation, as consumers are guided rather than required to understand complex scanning protocols
Data Source
AI summary
A method, apparatus, and computer-readable medium for room reconstruction including storing a parametric model of rooms, the parametric model being generated based on extraction of perceptual parameters from images corresponding to views of the rooms and estimation of an architectural layout of the rooms based at least in part on the one or more perceptual parameters, augmenting the parametric model by identifying architectural elements in the architectural layout and replacing the architectural elements in the parametric model with architectural models corresponding to the architectural elements, assigning materials to surfaces of the parametric model based at least in part on at least one of the perceptual parameters, determining a lighting setup based on at least one of the perceptual parameters, and rendering a three-dimensional model of the rooms based at least in part on the parametric model, the assigned materials, and the lighting setup.