Camera Posture Alignment for 3D Inspection Point Clouds
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Solution Overview
Problem
Constructing three-dimensional point cloud data of large infrastructures without missing portions is time-consuming and difficult due to the vast scale of these structures, making accurate alignment of captured images with relevant three-dimensional data challenging.
Innovation Solution
An information processing apparatus and method that utilizes moving image data to calculate camera postures by collating frames with three-dimensional data, enabling alignment of image capturing portions with relevant three-dimensional data portions using first and second camera postures.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If three-dimensional point cloud data is constructed by performing measurement at a very large number of places to ensure no missing portions, then alignment accuracy between captured images and three-dimensional data is improved, but the time required for measurement and data construction increases significantly
Solution Approach 1:
The patent divides the measurement process into two segments: (1) constructing three-dimensional point cloud data of the entire infrastructure using a limited number of measurement points, and (2) constructing three-dimensional point cloud data of the specific inspection portion using a smaller number of additional measurement points. This segmentation allows the system to achieve accurate alignment for the inspection portion without requiring complete measurement of the entire infrastructure, thereby reducing measurement time while maintaining alignment accuracy.
Solution Approach 2:
The patent applies partial action by focusing measurement efforts only on the specific inspection portion rather than the entire infrastructure. The system constructs three-dimensional point cloud data selectively for the inspection area using a limited number of measurement points, which is sufficient to achieve accurate alignment between captured images and three-dimensional data without the need for exhaustive measurement of all infrastructure components.
2Reliability
If the infrastructure is huge and requires measurement at a very large number of places to construct complete three-dimensional point cloud data, then the completeness of three-dimensional data is improved, but the complexity and difficulty of the measurement process increases
Solution Approach 1:
The patent segments the three-dimensional data construction into two parts: general infrastructure data and specific inspection portion data. By separating these requirements, the system achieves reliable alignment accuracy for the inspection portion without requiring complete data for the entire infrastructure, thereby reducing measurement process complexity while maintaining necessary data completeness.
Solution Approach 2:
The patent applies local quality by concentrating measurement resources on the specific inspection portion where high-quality three-dimensional data is critical for alignment. Rather than uniformly measuring the entire infrastructure with high density, the system applies detailed measurement only where needed, reducing overall measurement complexity while ensuring local data quality where it matters most.
3Productivity
If three-dimensional point cloud data is constructed with fewer measurement points to reduce time consumption, then measurement efficiency is improved, but the accuracy of aligning captured images with three-dimensional data deteriorates
Solution Approach 1:
The patent segments the measurement approach into two stages: first constructing a basic three-dimensional point cloud of the entire infrastructure with fewer points for efficiency, then adding targeted measurement points specifically for the inspection portion to ensure alignment accuracy. This segmentation allows the system to maintain measurement efficiency while achieving necessary precision where it matters.
Solution Approach 2:
The patent applies partial action by using a minimal number of measurement points for the general infrastructure and concentrating additional measurement efforts only on the specific inspection portion. This approach maintains overall measurement efficiency while ensuring sufficient alignment accuracy for the critical inspection area through focused partial measurement.
Data Source
AI summary
An information processing apparatus includes a data acquisition unit that acquires moving image data generated by moving image capturing from a specific portion to an inspection portion of an object and holding a camera posture at a time of capturing as a first camera posture for each frame, a camera posture calculation unit that collates a frame including the specific portion with three-dimensional data of the object, calculates a camera posture in the specific portion in the three-dimensional data as a second camera posture, and calculates a second camera posture of the inspection portion on the three-dimensional data using a first camera posture of a frame of the inspection portion and a second camera posture of the specific portion on the three-dimensional data, and a position identification unit that identifies a position of the inspection portion on the three-dimensional data using the second camera posture of the inspection portion.