Building Image Capture Guidance for Real-Time 3D Modeling
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Solution Overview
Problem
Existing methods for generating 3D textured models of buildings via aerial imagery or specialized camera-equipped vehicles are limited by low texture resolution, geometry quality, inaccurate geo-referencing, high cost, and lack of real-time image data analytics, making them time-consuming and difficult to update.
Innovation Solution
A system and method for guiding users to capture a series of quality building images using ground-level images from multiple angles, utilizing graphical overlays and real-time image processing to construct a 3D building model, incorporating geo-referencing and image quality feedback.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If aerial imagery or specialized camera-equipped vehicles are used to generate 3D textured models, then coverage area is improved, but texture resolution and geometry quality deteriorate
Solution Approach 1:
The system segments the building capture task into multiple ground-level images taken from different angles and positions. Instead of relying on a single aerial view, the building is captured through multiple discrete images that are then processed together to create the 3D model, thereby maintaining high resolution while covering the entire building structure.
Solution Approach 2:
The system transitions from traditional aerial (top-down) imaging to ground-level multi-angle imaging. By capturing images from the ground dimension rather than from above, the system achieves both high texture resolution and complete building coverage, resolving the contradiction between coverage area and quality.
2Reliability
If conventional 3D modeling methods are used, then model creation is achieved, but time consumption and update difficulty increase
Solution Approach 1:
The system incorporates automated image quality assessment and real-time feedback mechanisms that guide users to capture suitable images without requiring expert knowledge. The system automatically evaluates captured images, provides feedback on quality, and guides users to retake images if necessary, enabling non-experts to create accurate 3D models efficiently.
Solution Approach 2:
The system implements real-time feedback by analyzing captured images and providing immediate guidance to users about image quality and capture requirements. This feedback loop enables users to correct their capture approach on the spot, significantly reducing time consumption and making updates faster and more efficient.
3Manufacturing precision
If ground-level images from multiple angles are captured, then texture resolution and geometry quality are improved, but image capture complexity increases
Solution Approach 1:
The system provides real-time feedback to users during the image capture process, automatically assessing image quality and guiding users on what images are needed and how to capture them. This feedback mechanism simplifies the capture process by eliminating the need for users to understand complex capture requirements, while still achieving high-quality results.
Solution Approach 2:
The system acts as an intermediary between the user and the complex requirements of 3D model creation. It translates complex geometric and textural requirements into simple, actionable guidance for users, managing the complexity internally while presenting a simplified interface to the user.
4Productivity
If real-time image processing is implemented, then processing speed is improved, but computational requirements and system complexity increase
Solution Approach 1:
The system performs preliminary actions by providing real-time feedback during image capture to ensure images meet quality requirements before processing. This preliminary quality assurance during capture reduces the need for extensive post-processing and rework, achieving efficient processing without requiring overly complex systems.
Data Source
AI summary
Systems and methods are disclosed for guiding image capture of a subject by determining a location of the subject and presenting on a display graphical guides representative of perspective views of the subject to be captured. Images of the subject may then be captured and additional graphical guides are presented to the user for display for additional images to be captured. Images may be captured in a predetermined sequence of graphical guides or responsive to a user input or camera information. Captured images may be uploaded to a system for additional processing.