Geometric Unit Recognition in Computer Images
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Solution Overview
Problem
Current computer imaging systems are unable to automatically recognize rooms, doorways, or other repeating geometric structures in images, requiring manual tracing by users, which is time-consuming, especially in the construction industry where accurate floor space determination is critical.
Innovation Solution
A system and method using a connected component labeling algorithm, rule sets, and key point descriptors to identify and detect breaks in the perimeter of potential geometric units, allowing for the recognition of specific feature points and automatic identification of repeating geometric units in computer images.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual tracing is used to identify geometric units, then measurement precision is improved, but loss of time increases
Solution Approach 1:
The system enables self-service by automatically detecting and identifying geometric units without requiring manual user input. The computer vision algorithm autonomously processes images, identifies walls, doorways, and windows, and calculates floor space, eliminating the need for users to manually trace geometric shapes while maintaining accurate measurements.
Solution Approach 2:
The patent replaces the mechanical manual tracing process with an automated computer vision system. Instead of users physically tracing geometric units with a mouse or pointer, the system uses image processing algorithms to automatically detect edges, identify geometric shapes, and calculate dimensions, thereby substituting manual mechanical actions with automated computational processes.
2Productivity
If automated recognition is implemented, then productivity is improved, but device complexity increases
Solution Approach 1:
The system applies segmentation by dividing the image processing task into distinct functional stages: edge detection, geometric shape identification, feature point recognition, and floor space calculation. Each stage processes specific aspects of the image independently, making the overall complex system manageable through modular processing steps that work together to achieve automated recognition.
Data Source
AI summary
Methods and systems for recognition of repeating geometric units in a computer image are here disclosed. According to an aspect, a representation of a computer image is split into components and every component is analyzed to identify the role of this component on the computer image. Identified components could include but are not limited to: rooms, doors, furniture etc. In one embodiment components are identified based on the presence or absence of at least one other component. The presence of a door, in a non-limiting example, could be used to denote the presence of a room. In a further embodiment, the program may extract size and perimeter information necessary for estimating needed materials from a representation of a computer image.