Point Cloud Marker Highlighting for Position Matching

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Solution Overview

Problem

The existing techniques for matching multiple point cloud data sets are inefficient due to the manual operation required for position matching, which affects working efficiency, especially when dealing with occlusion and varying viewpoints.

Innovation Solution

A point cloud data processing device and method that includes a highlight controlling part to identify corresponding markers, a coinciding processing part to align markers, and a rotation display controlling part to facilitate rotation around matched markers, improving the efficiency of position matching by automating the alignment and rotation of point clouds.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If manual operation is used to determine correspondence relationship between markers, then flexibility and control are maintained, but working efficiency deteriorates

Engineering Contradiction:

Improveworking efficiencyVSAvoidmanual operation complexity

Core Design Contradiction:

ProductivityVSEase of operation

Solution Approach 1:

The system performs automatic marker correspondence determination by having the first point cloud data serve itself to identify corresponding markers in the second point cloud data, eliminating the need for manual operator intervention while maintaining accurate matching through automated coordinate comparison

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The patent replaces the mechanical manual operation system with an automated computational system that uses coordinate data processing and distance calculation algorithms to determine marker correspondences, substituting human manual work with automated information processing

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

2Reliability

If multiple point cloud data sets are processed simultaneously, then completeness of three-dimensional model improves, but operation complexity increases

Engineering Contradiction:

Improvecompleteness of three-dimensional modelVSAvoidoperation complexity

Core Design Contradiction:

ReliabilityVSDevice complexity

Solution Approach 1:

The patent segments the complex task of multiple point cloud matching into manageable units by processing one correspondence relationship at a time through sequential manual or automated determination, breaking down the overall complexity into discrete marker-pair matching operations

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The patent introduces marker correspondence relationships as intermediary elements that facilitate the matching process between multiple point cloud data sets, using these markers as reference points to bridge and align different coordinate systems systematically

Inventive Principle:

Principle #24Intermediary (Mediator)

Data Source

PatentUS10810699B2Point cloud data processing device, point cloud data processing method, and point cloud data processing program

Publication Date: 2020.10.20 TOPCON CORPORATION

AI summary

Working efficiency in position matching of multiple point cloud data displayed on a display is improved. A point cloud data processing device includes a highlight controlling part. In a condition in which a first point cloud containing multiple markers for position matching and a second point cloud containing multiple markers for position matching are displayed on a display, when a marker of one of the first point cloud and the second point cloud is specified, the highlight controlling part highlights a corresponding marker of the other point cloud.