Image Processing Apparatus for Extracting Narrow-Angle Views from Wide-Angle Images
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Solution Overview
Problem
Current methods for capturing and displaying specific areas of interest in panoramic images, such as those from omnidirectional cameras, are inefficient and do not effectively allow users to easily extract and view detailed images of particular features within a wide-angle image.
Innovation Solution
An image processing apparatus and system that acquires and communicates a narrow-angle image of a predetermined area from a wide-angle image based on the structure of a building, using a combination of image processing and communication technologies to enable precise extraction and display of specific features.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If a wide-angle panoramic image is used to capture the entire room, then the overall structure and layout can be represented, but it becomes difficult to clearly display specific areas of interest such as newly attached air conditioners or kitchen features
Solution Approach 1:
The patent extracts specific areas of interest from the wide-angle panoramic image by detecting building structures (walls, ceilings, floors) and automatically generating cropped narrow-angle images that isolate particular features such as air conditioners, kitchens, or other objects of interest. This extraction process separates the detailed view of specific areas from the overall panoramic context.
Solution Approach 2:
The patent segments the wide-angle image into multiple regions based on detected building structures, identifying and isolating specific areas of interest. By dividing the panoramic image into structured segments (walls, ceilings, floors) and further extracting relevant regions, the system enables focused viewing of particular features while maintaining the overall spatial context.
2Measurement precision
If manual cropping of specific areas from panoramic images is performed, then detailed views can be obtained, but the process becomes complex and time-consuming
Solution Approach 1:
The system performs automatic area extraction by itself without requiring manual user input. The image processing apparatus automatically detects building structures in the panoramic image, identifies areas of interest based on these structures, and generates cropped images autonomously. This self-service approach eliminates the need for manual cropping operations while maintaining high precision in extracting specific features.
Solution Approach 2:
The patent performs preliminary detection of building structures (walls, ceilings, floors) before extracting areas of interest. By pre-identifying the structural framework of the room, the system prepares the necessary information for subsequent automatic cropping, simplifying the overall process and reducing the complexity of real-time processing.
3Measurement precision
If manual cropping of specific areas from panoramic images is performed, then detailed views can be obtained, but significant time is required for the process
Solution Approach 1:
The automatic extraction system performs the entire cropping process without manual intervention, significantly reducing the time required. The system autonomously detects building structures, identifies areas of interest, and generates cropped images in sequence, eliminating the time-consuming manual cropping process while maintaining extraction precision.
Solution Approach 2:
By pre-detecting building structures and pre-identifying potential areas of interest based on these structures, the system prepares extraction candidates in advance. This preliminary action reduces the time required for final cropping operations, as the system only needs to execute the cropping based on pre-computed structural information rather than performing full analysis from scratch.
Data Source
AI summary
An image processing apparatus is configured to acquire an image that is a partial predetermined area of an image related to image data. The image processing apparatus includes processing circuitry configured to acquire a narrow-angle image that is a predetermined area of a wide-angle image, based on a structure of a building represented in the wide-angle image that is an entire region or a partial region of the image related to the image data.