2D-Assisted 3D Scan Registration for Faster On-Site Alignment
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Solution Overview
Problem
Current 3D laser scanners require manual registration processes that are time-consuming and often incomplete, leading to inefficiencies and additional costs, as only 30% of scans can be automatically registered, and manual registration is typically done off-site, which can be impractical for scenes like accident or homicide sites that are not accessible later.
Innovation Solution
A 3D measuring device that combines a 3D scanner with a 2D scanner and processor system to automatically register 3D scans by determining translation and rotation values based on fitting of 2D scan sets, allowing for accurate correspondence and registration of 3D coordinates without manual intervention.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual registration processes are used for 3D scans, then registration accuracy can be maintained, but the process becomes time-consuming and incomplete (only 30% automatic registration success)
Solution Approach 1:
The patent introduces a 2D scanner as an intermediary device to capture 2D images of registration targets. These 2D images serve as a mediator between the 3D scan data from different positions, enabling automatic calculation of transformation parameters (translation and rotation values) without requiring manual intervention. The 2D scanner bridges the gap between multiple 3D scan positions by providing a common reference framework.
Solution Approach 2:
The patent replaces the manual mechanical process of registration with an automated computational system. Instead of manually identifying and matching registration targets between scans, the system uses a processor to automatically calculate transformation parameters based on 2D scan set fitting. This substitution of manual mechanical operations with automated computational methods resolves the contradiction between accuracy and time consumption.
2Reliability
If manual registration is performed off-site, then complete registration can be achieved, but it becomes impractical for inaccessible scenes (accident or homicide sites)
Solution Approach 1:
The patent enables the registration system to be self-sufficient by integrating all necessary components (3D scanner, 2D scanner, and processor) into a single portable device. The system performs registration automatically using the 2D scan sets to calculate transformation parameters, eliminating the need for external assistance or off-site processing. This self-service capability allows complete registration to be performed on-site even in inaccessible locations.
Solution Approach 2:
The patent creates a multi-functional device that combines 3D scanning, 2D imaging, and automated registration processing in one portable system. This universal device can perform multiple functions (data acquisition from multiple perspectives and automatic registration) in various environments, including inaccessible scenes. The integration of these functions into a single portable platform resolves the contradiction between registration completeness and on-site operability.
3Area of stationary object
If multiple scans from different positions are used to create comprehensive 3D images, then measurement coverage is improved, but the complexity of registering these scans increases
Solution Approach 1:
The patent segments the registration process into distinct components: 2D image capture of registration targets, automatic calculation of transformation parameters (translation and rotation values), and application of these parameters to align 3D scan data. This segmentation of the registration process into manageable steps reduces overall complexity while maintaining comprehensive scan coverage from multiple positions.
Solution Approach 2:
The patent replaces complex manual registration procedures with automated computational methods. The processor automatically calculates transformation parameters by fitting 2D scan sets, eliminating the need for manual identification and matching of registration targets. This substitution of manual complex operations with automated computational algorithms reduces process complexity while maintaining comprehensive coverage.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enables efficient and accurate automatic registration of 3D scans, reducing the need for manual processes and allowing on-site registration, thereby decreasing project costs and time, and ensuring complete data capture in a single session.
Implementation Method 1
A TOF laser scanner is a scanner in which the distance to a target point is determined based on the speed of light in air between the scanner and a target point
Implementation Method 2
a laser scanner which, through use of a rotatable mirror, emits a light beam into its environment to generate a three-dimensional (3D) scan
Data Source
AI summary
A method for measuring and registering 3D coordinates has a 3D scanner measure a first collection of 3D coordinates of points from a first registration position. A 2D scanner collects horizontal 2D scan sets as 3D measuring device moves from first to second registration positions. A processor determines first and second translation values and a first rotation value based on collected 2D scan sets. 3D scanner measures a second collection of 3D coordinates of points from second registration position. Processor adjusts second collection of points relative to first collection of points based at least in part on first and second translation values and first rotation value. Processor identifies a correspondence among registration targets in first and second collection of 3D coordinates, and uses this correspondence to further adjust the relative position and orientation of first and second collection of 3D coordinates.