3D Point Cloud Display with Alignment Markers
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Point cloud data acquisition is limited to visible viewpoints, requiring multiple viewpoints for alignment and combination, making it difficult to visually assess relationships between data sets during the alignment process.
Innovation Solution
An image processing apparatus and method that enables 3D display of combined point cloud data from multiple viewpoints, allowing hierarchical display, color differentiation, and positional alignment markers to facilitate visual assessment of data relationships and alignment accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If point cloud data is acquired from multiple viewpoints to cover blind spots, then completeness of 3D data is improved, but complexity of positional alignment and combination operations increases
Solution Approach 1:
The system provides real-time visual feedback by displaying alignment markers (circles and triangles) that show the positional relationship between point cloud data from different viewpoints. The display control unit updates the screen to show whether markers coincide (good alignment) or are separated (misalignment), enabling operators to adjust and achieve proper alignment through continuous feedback.
Solution Approach 2:
The patent introduces alignment markers (circles and triangles) as intermediary visual elements that mediate between the complex point cloud data and the operator's perception. These markers serve as simplified indicators that represent the positional relationship between multiple viewpoint data, making the alignment process more intuitive and manageable.
2Reliability
If multiple items of point cloud data are combined from multiple viewpoints, then completeness of measurement is improved, but difficulty of visually ascertaining relationships between data sets increases
Solution Approach 1:
The system uses different colors to represent point cloud data from different viewpoints. Each viewpoint's data is assigned a distinct color, enabling operators to visually distinguish and track individual data sets within the combined point cloud. This color-coding system makes it easy to identify which points belong to which viewpoint and assess their spatial relationships.
Solution Approach 2:
Alignment markers (circles and triangles) are introduced as intermediary visual elements that represent the positional relationship between point cloud data from different viewpoints. These markers are displayed on the screen to indicate whether the alignment is good (markers coincide) or bad (markers are separated), making it easy to visually assess alignment quality without analyzing raw point cloud data directly.
3Ease of operation
If point cloud data is displayed in 3D to show spatial relationships, then visual understanding of alignment is improved, but clarity of individual data item identification decreases
Solution Approach 1:
The system assigns different colors to point cloud data from different viewpoints while maintaining 3D spatial display. This allows operators to simultaneously perceive the three-dimensional spatial relationships and identify which points belong to which viewpoint through color differentiation, preventing information loss about individual data sources.
Solution Approach 2:
The system adds color as an additional dimension of information to the 3D spatial display. By encoding viewpoint information in the color dimension while maintaining spatial position in three dimensions, the system enables simultaneous visualization of both spatial relationships and data source identification without interference.
Data Source
AI summary
An image processing apparatus is provided to display an image on a screen, the image facilitating visual ascertainment of relationships between each of a plurality of items of point cloud data and point cloud data arising from combining the plurality of items of point cloud data. The image processing apparatus includes a display controlling section configured to 3D display combination point cloud data combining a plurality of items of point cloud data obtained from a plurality of viewpoints and allow 3D display of one item out of the plurality of items of point cloud data obtained from the plurality of viewpoints.


