Building Interior Mapping via Multi-Image Attribute Exchange
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Solution Overview
Problem
Existing technologies face challenges in effectively capturing, representing, and using building interior information, including constructing and maintaining accurate floor plans, scaling room interiors, and visualizing details without physical presence, which is crucial for architectural analysis, real estate, and remodeling.
Innovation Solution
Utilizing computing devices to generate mapping information through automated analysis of multiple image types, including perspective and panorama images, without measured depth information, and exchanging attribute data between these images to create enhanced images and floor plans.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If floor plans are constructed manually to represent building interiors, then detailed layout information can be obtained, but the process is difficult, time-consuming, and requires physical presence in the building
Solution Approach 1:
The patent uses photographs and computer-generated images as copies of the actual building interior to create floor plans, eliminating the need for physical measurement and manual construction. The system automatically generates accurate floor plan representations by processing visual data from multiple images, thereby reducing both time loss and information loss.
2Measurement precision
If multiple image types are processed to generate accurate mapping information, then visualization quality improves, but computing power requirements increase
Solution Approach 1:
The patent segments the image processing task by first identifying and extracting structural elements (walls, doors, windows) from multiple image types, then separately processing spatial relationships and finally integrating results to generate floor plans. This segmentation reduces computational complexity while maintaining high mapping information accuracy.
Solution Approach 2:
The system performs preliminary processing on images by pre-identifying structural elements and spatial relationships before generating the final floor plan. This preliminary action reduces the computational burden during the main processing stage, thereby reducing energy consumption while maintaining precision.
3Loss of information
If detailed visual information is captured from building interiors, then accurate representation is achieved, but difficulty in capturing and displaying information increases
Solution Approach 1:
The patent implements automated processing where the system itself captures, processes, and generates floor plans from multiple image types without requiring manual intervention. The automated generation of mapping information and floor plans from photographs and computer-generated images eliminates the operational difficulty while preserving detailed building interior information.
Data Source
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Figure 2B
AI summary
Techniques are described for using computing devices to perform automated operations to generate mapping information of a defined area via analysis of visual data of images, including by using attribute information exchanged between paired or otherwise grouped images of multiple types to generate enhanced images, and for using the generated mapping information in further automated manners, including to use the generated mapping information for automated navigation and/or to display or otherwise present the generated mapping information. In some situations, the defined area includes an interior of a multi-room building, and the generated information includes at least one or more enhanced images and/or a partial floor plan and/or other modeled representation of the building, with the generating performed in some cases without having measured depth information about distances from the images' acquisition locations to walls or other objects in the surrounding building.