Guided Spherical Capture System for 3D Scanning
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Solution Overview
Problem
Conventional 3D imaging and virtual reality systems require extensive time and multiple overlapping scans to capture a complete three-dimensional virtual scene of a physical environment, often resulting in incomplete models due to user error or missed areas during scanning sessions.
Innovation Solution
A guided spherical capture system that assists users in initializing SLAM tracking, determining scale, and scanning with visual indicators, motion guidance, and real-time feedback to ensure comprehensive data capture, allowing for efficient generation of accurate three-dimensional models without the need for depth cameras or extensive user expertise.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If conventional scanning methods are used to capture a complete three-dimensional virtual scene, then the scanning process can capture environmental data, but the process requires extensive time and multiple overlapping scans, resulting in incomplete models due to user error or missed areas
Solution Approach 1:
The system provides real-time visual feedback through a spherical indicator that shows users their current scanning progress and coverage. The sphere displays captured regions versus uncaptured regions, allowing users to immediately see gaps and adjust their scanning path accordingly, eliminating the need for multiple overlapping scans and ensuring complete scene capture in a single pass.
Solution Approach 2:
The system automatically processes and integrates captured images to generate the three-dimensional virtual scene without requiring user expertise in scanning techniques. The computational system handles image alignment, stitching, and gap detection autonomously, freeing users from needing to understand complex scanning procedures while ensuring complete scene capture.
2Manufacturing precision
If users perform scanning sessions without guidance, then the scanning process can be initiated, but users often miss or leave gaps resulting in an incomplete virtual scene
Solution Approach 1:
The spherical visual indicator provides continuous feedback to users during scanning, showing real-time coverage progress and highlighting uncaptured regions. This guidance system transforms an complex operation into an intuitive task where users simply need to scan until the sphere is fully populated, eliminating gaps without requiring expert knowledge of scanning techniques.
Solution Approach 2:
The spherical indicator uses visual differentiation to show captured versus uncaptured regions, providing intuitive color-coded guidance to users. This visual encoding simplifies the scanning operation by making gap detection immediate and obvious, allowing users of any expertise level to achieve complete scene capture.
3Manufacturing precision
If multiple overlapping scans are performed to ensure complete coverage, then the virtual scene completeness can be improved, but the computational complexity and processing time increase
Solution Approach 1:
The system performs preliminary gap detection and guidance during the scanning process itself, rather than requiring post-processing of multiple scans. By providing real-time visual feedback on coverage, the system ensures complete capture in a single pass, eliminating the need for computationally intensive processing of multiple overlapping scans and reducing overall computational complexity.
Data Source
AI summary
A system configured to assist a user in scanning a physical environment in order to generate a three-dimensional scan or model. In some cases, the system may include an interface to assist the user in capturing data usable to determine a scale or depth of the physical environment and to perform a scan in a manner that minimizes gaps.