Panoramic Door Detection for Accurate Virtual Room Plan Views
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Solution Overview
Problem
Existing virtual roaming technologies provide limited and inaccurate information about doors in panoramic images, leading to the need for on-site inspections and suboptimal generation of plan views.
Innovation Solution
An image processing method that includes door detection and structure detection in panoramic images to determine door and structural information, displaying panoramic and plan identifiers to enhance information accuracy, and using deep learning-based neural networks for improved door detection and matching across multiple rooms.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If existing virtual roaming technology is used to display panoramic images, then the system is simple and easy to operate, but the information accuracy about doors is limited and inaccurate
Solution Approach 1:
The system segments door information extraction by implementing separate detection modules for door location, door type, and opening type, allowing each module to specialize in specific aspects of door analysis while working together to provide comprehensive accurate information
Solution Approach 2:
The patent introduces an intermediary processing layer that includes a neural network model and multiple detection modules between the panoramic image input and the final door information output, enhancing accuracy while managing complexity through structured intermediate processing steps
2Measurement precision
If existing virtual roaming technology is used, then the system is simple, but on-site inspections are frequently required due to information inaccuracy
Solution Approach 1:
The system performs preliminary door detection and information extraction from panoramic images before on-site inspections, allowing customers to review door locations, types, and opening directions online in advance, thereby reducing the frequency and necessity of on-site verification trips
Solution Approach 2:
The system provides feedback to customers through the virtual roaming platform with detected door information, allowing them to verify accuracy online and request corrections if needed, reducing the need for immediate on-site inspections
3Measurement precision
If door detection and structure detection are implemented, then door information accuracy is improved, but the processing complexity and computational requirements increase
Solution Approach 1:
The processing system is segmented into specialized detection modules including door location detection, door type detection, and opening type detection, allowing each module to focus on specific tasks and improving overall accuracy while managing complexity through functional decomposition
Solution Approach 2:
The neural network model serves multiple functions by simultaneously performing door location detection, door type classification, and opening type identification from the same panoramic image input, reducing overall system complexity while maintaining high accuracy across multiple detection tasks
4Loss of information
If panoramic identifiers are displayed with detailed door information, then information completeness is improved, but the visual clarity and ease of operation may be reduced
Solution Approach 1:
The system applies local quality enhancement by displaying different types of door information (location, type, opening direction) with varying levels of detail and visual prominence at different locations in the virtual漫游 interface, allowing users to access comprehensive information when needed while maintaining visual clarity through selective information presentation
Data Source
AI summary
An image processing method and an image processing apparatus are provided. The image processing method includes obtaining a panoramic image to which a room corresponds; performing door detection on the panoramic image to determine first information related to at least one door in the room; and displaying, based on the first information, a panoramic identifier of the at least one door in the panoramic image, the panoramic identifier indicating at least a door outline, a door type and an opening type of the door.