Panoramic Picture Display Using Planar Sub-Windows for Clear Recognition
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Solution Overview
Problem
Existing panoramic image display methods suffer from low target recognition accuracy and poor visual effects due to distortion and unclear features of objects in spherical recognition regions.
Innovation Solution
A method involving acquiring a panoramic picture, determining a to-be-displayed and target picture region, mapping the target region to a planar sub-window, performing target recognition, and placing the object at a preset position for display, while adjusting the region if necessary to ensure accurate positioning and enhance visual clarity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If panoramic image is displayed using spherical recognition region, then 360-degree viewing coverage is achieved, but image distortion and poor visual effect occur
Solution Approach 1:
The panoramic image is divided into multiple planar sub-windows, each representing a specific viewing direction. Instead of displaying the entire spherical panorama at once, the system segments the 360-degree view into discrete planar regions that can be independently processed and displayed, reducing distortion while maintaining comprehensive coverage.
Solution Approach 2:
The patent transitions from spherical coordinate system to planar coordinate system for display. By mapping the curved spherical panorama onto flat planar sub-windows, the system eliminates the inherent distortion of spherical projection while preserving the full viewing coverage through multiple angled perspectives.
2Area of stationary object
If spherical recognition region is used for target recognition, then complete scene coverage is achieved, but target recognition accuracy decreases due to distortion
Solution Approach 1:
The spherical recognition region is segmented into multiple planar sub-windows, each covering a specific angular range. This segmentation allows target recognition algorithms to operate on undistorted planar images rather than distorted spherical projections, significantly improving recognition accuracy while maintaining comprehensive scene coverage.
Solution Approach 2:
Planar sub-windows serve as an intermediary between the spherical panorama and the target recognition algorithm. By introducing this intermediate planar representation, the system enables accurate feature extraction and target detection while still utilizing the complete 360-degree scene information.
3Ease of operation
If target object is placed at preset position in planar sub-window, then visual focus is improved, but positioning precision requirements increase
Solution Approach 1:
The system applies different quality requirements to different regions: the target object region in the planar sub-window requires high positioning precision for proper placement at the preset position, while other regions can tolerate lower precision. This localized quality approach ensures visual focus is achieved without requiring ultra-precise processing throughout the entire image.
Data Source
AI summary
In some aspects, a method for displaying a picture is provided. A first panoramic picture is acquired, and a to-be-displayed picture region and a target picture region are determined in the first panoramic picture. The target picture region can be mapped to a target planar sub-window. Target recognition may be performed on the target planar sub-window. In response to determining that a target object is recognized, the target object can be placed at a preset position in the target planar sub-window. The to-be-displayed picture region and the target planar sub-window can be displayed on a target display interface.