Display Control Apparatus for CAD Model Alignment

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Solution Overview

Problem

The existing methods for accurately overlapping a three-dimensional CAD model with a captured image are cumbersome due to the complexity and number of operations required for selecting and associating numerous edge lines and ridge lines.

Innovation Solution

A display control apparatus and method that simplifies the association process by allowing users to select and associate edge lines from a captured image with corresponding ridge lines of a CAD model using a reduced number of operations, facilitating the alignment of the model with the image through a user-friendly interface and computational processing.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If numerous edge lines and ridge lines are selected and associated manually to accurately overlap the CAD model with the captured image, then the alignment accuracy is improved, but the number of operations and complexity increase significantly

Engineering Contradiction:
Improvealignment accuracyVSAvoidoperation complexity
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The system automatically extracts edge lines from the captured image and ridge lines from the CAD model, then automatically associates them based on spatial correspondence. This self-service mechanism eliminates the need for manual selection and association operations, reducing the number of operations from 12 times to 6 or 9 times while maintaining alignment accuracy

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

The patent replaces manual mechanical operations (mouse clicking, manual selection) with automated computational processes (image processing algorithms, automated association algorithms). This substitution transforms the manual task of selecting numerous edge lines and ridge lines into an automated system that processes lines automatically based on their spatial relationships

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

2Measurement precision

If a large number of edge lines and ridge lines are manually selected and associated, then the association accuracy is improved, but the time required for the process increases

Engineering Contradiction:
Improveassociation accuracyVSAvoidprocessing time
Core Design Contradiction:
Measurement precisionVSLoss of time

Solution Approach 1:

The system performs automatic extraction and association of edge lines and ridge lines without requiring user intervention for each line. The automated association algorithm processes all lines based on their spatial correspondence, significantly reducing processing time from 12 operations to 6 or 9 operations while maintaining high association accuracy

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

The system pre-extracts edge lines from the captured image and ridge lines from the CAD model before the association process. This preliminary extraction action prepares the data in advance, allowing the automated association algorithm to work with pre-processed information, thereby reducing the overall processing time required

Inventive Principle:
Principle #10Preliminary action

Data Source

PatentUS10573090B2Non-transitory computer-readable storage medium, display control method, and display control apparatus
Publication Date: 2020.02.25 FUJITSU LTD
  • US10573090B2 patent drawing
  • US10573090B2 patent drawing
  • US10573090B2 patent drawing

AI summary

A non-transitory computer-readable storage medium storing a program that causes a computer to execute a process including displaying a plurality of first edge lines extracted from a captured image including a structure captured by a camera and a plurality of second edge lines included in a three dimensional model corresponding to structure data of the structure, detecting a first operation that designates target first edge lines included in the plurality of first edge lines in a first order, detecting a second operation that designates target second edge lines included in the plurality of second edge lines in a second order, associating each of the target second edge lines with one of the target first edge lines based on the first order and the second order, and superimposing the three dimensional model with the structure in the captured image based on a result of the associating.