3D Model Generation Using Point Cloud Decimation and Digital Object Libraries
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Solution Overview
Problem
Current methods for generating 3D models of complex environments and objects are time-consuming and require significant data processing, making them inefficient for scenarios with limited scan availability, such as ship-board environments.
Innovation Solution
A system and method utilizing an optical scanning device, memory device, and processor to rapidly scan environments, generate point clouds, and replace complex object regions with digital objects from a library, reducing processing time through decimation and surface simplification, enabling rapid generation of accurate 3D models and documentation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional scanning and processing methods are used to generate accurate 3D models, then model accuracy and resolution are improved, but processing time and data processing requirements increase significantly
Solution Approach 1:
The patent segments the 3D modeling process into distinct phases: rapid scanning to capture point clouds, identification of object regions within point clouds, and selective replacement with digital objects from a library. This segmentation allows parallel processing and reduces the time-critical path while maintaining accuracy through targeted detailed modeling only where necessary.
Solution Approach 2:
The patent performs preliminary actions by pre-creating a library of digital objects that can be rapidly deployed. During scanning, objects are identified and replaced with pre-modeled digital representations, eliminating the need to model each object from scratch. This preliminary preparation of digital assets dramatically reduces processing time while maintaining model accuracy.
2Loss of information
If traditional scanning methods are used for complex environments, then complete documentation is achieved, but scanning duration requirements increase
Solution Approach 1:
The patent uses copying by replacing scanned point cloud data of identified objects with digital objects from a library. Rather than capturing and processing every detail of every object during the scan, the system copies pre-existing digital representations into the 3D model, achieving complete documentation with significantly reduced scanning time.
Solution Approach 2:
The patent changes parameters by transitioning from high-resolution detailed scanning of all objects to a hybrid approach where scanned regions are selectively replaced with digital objects. This parameter change in data density and processing intensity reduces scanning duration requirements while maintaining documentation completeness through the combination of scan data and digital object data.
3Measurement precision
If high-resolution 3D models are generated using traditional methods, then model quality is improved, but computational resources and processing power requirements increase
Solution Approach 1:
The patent applies partial action by selectively processing only certain regions of the scanned environment. Instead of generating high-resolution models for all scanned objects, the system identifies specific objects and replaces them with digital library objects, applying detailed modeling only where necessary. This partial processing approach maintains model quality in critical areas while reducing overall computational resource requirements.
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
This approach significantly reduces the time and cost associated with creating high-resolution 3D models, allowing for efficient scanning and documentation of complex environments, even in short-duration scan situations, while maintaining accuracy and resolution.
Implementation Method 1
an optical scanning device to scan an environment having an object within the environment, with the scan generating a point cloud
Data Source
AI summary
A system and method provide for rapid generation of 3D models of complex environments by using a coordinate measurement machine to scan an environment having one or more objects to generate a point cloud comprising a plurality of points, analyzing the points without creating surfaces using the points to determine boundaries of the environment and boundaries of the object within the environment, excising a region of points within the point cloud representing the object, where the excised region of points is determined using the boundaries of the environment and the boundaries of the object, and creating a modified point cloud by replacing the excised region of points with a digital object from a digital object library.