Multi-modal 3D Scanning via Region-of-Interest Segmentation
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Solution Overview
Problem
Current 3D scanning technologies are inefficient in capturing detailed information of objects, as they often require scanning the entire object at high resolution, which is computationally intensive and time-consuming, whereas focusing on specific regions of interest with varying levels of detail can enhance efficiency.
Innovation Solution
A method and system that utilize a scanning system to receive initial low-resolution 3D information about an object, determine regions of interest based on shape, color, or reflectance, and provide instructions to capture higher-resolution information from specific viewpoints, allowing for targeted high-resolution data acquisition.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the entire object is scanned at high resolution, then measurement precision is improved, but loss of time and use of energy increase
Solution Approach 1:
The patent segments the object into multiple regions based on a low-resolution initial scan. The object is divided into regions of interest (ROIs) that require high-resolution scanning and regions that can be represented at lower resolution. This segmentation allows the system to apply high-resolution scanning only where necessary, reducing overall scanning time while maintaining measurement precision for critical areas.
Solution Approach 2:
The patent implements local quality by applying different scanning resolutions to different parts of the object. High-resolution scanning is applied locally to regions of interest identified through the low-resolution initial scan, while other regions are scanned at lower resolution. This differential resolution approach maintains measurement precision where needed without the time cost of scanning the entire object at high resolution uniformly.
2Measurement precision
If the entire object is scanned at high resolution, then measurement precision is improved, but use of energy increases
Solution Approach 1:
The patent segments the object into regions of interest and non-interest areas based on initial low-resolution analysis. By segmenting the object this way, the system can allocate computational energy to high-resolution scanning only for the identified regions of interest, rather than uniformly processing the entire object at high resolution, thus reducing overall energy consumption.
Solution Approach 2:
The patent applies local quality by concentrating high-resolution scanning and processing on specific local regions where detailed information is most needed. This differential quality approach ensures that computational energy is not wasted on regions that can be adequately represented at lower resolution, optimizing the balance between measurement precision and energy efficiency.
3Measurement precision
If detailed information is captured throughout the entire object, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The patent uses segmentation to identify and isolate regions of interest from the rest of the object. By segmenting the object into meaningful regions based on initial low-resolution data, the system can then apply complex high-resolution scanning only to these segmented regions rather than the entire object, reducing the overall complexity requirements of the scanning system.
Solution Approach 2:
The patent performs a preliminary low-resolution scan to identify regions of interest before applying high-resolution scanning. This preliminary action simplifies the overall process by first determining where detailed scanning is needed, allowing the system to use simpler scanning configurations for the initial analysis and only deploy complex high-resolution scanning to specific regions.
Data Source
AI summary
Methods and systems for multi-modal three-dimensional (3D) scanning of objects are described. An example method may include receiving, from a scanning system, 3D information associated with an object having a first resolution. A region of interest of the object may be determined by a processor based on the 3D information associated with the object. Additionally, instructions for operating the scanning system to determine additional information associated with the region of interest of the object may be determined. The additional information associated with the region of interest may have a second resolution that is higher than the first resolution. The instructions may be provided to the scanning system to determine the additional information associated with the region of interest of the object.