Panorama Photography Apparatus Edge Detection Guide
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Solution Overview
Problem
Conventional panoramic photography methods rely on user eye measurement for determining the optimum photographing position, which can be inconvenient and imprecise when capturing successive images for a combined panorama.
Innovation Solution
A method and apparatus that generate a guide image and detect edges in both the first and preview images, calculate the correlation coefficient between these edges, and provide notification data to assist the user in finding the optimal photographing position, using visual and audio cues based on predefined critical values.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If a guide image is provided to assist users in choosing a photographing position, then the ease of operation is improved, but the measurement precision deteriorates because users must rely on eye measurement
Solution Approach 1:
The patent replaces the manual eye measurement method with an automated edge detection and correlation coefficient calculation system. The processor automatically detects edges in both the guide image and preview image, calculates the correlation coefficient between them, and provides objective feedback through notification data, eliminating the need for users to perform subjective visual estimation.
Solution Approach 2:
The patent introduces an intermediary computational system that processes the relationship between the guide image and preview image. The edge detection algorithm and correlation coefficient calculation act as intermediaries that objectively measure the alignment between images, providing a quantitative basis for determining the optimum photographing position rather than relying on direct user observation.
2Measurement precision
If edge detection and correlation coefficient calculation are implemented, then the measurement precision is improved, but the device complexity increases
Solution Approach 1:
The system performs self-service by automatically detecting edges, calculating correlation coefficients, and generating notification data without requiring external measurement tools or complex user intervention. The processor utilizes the existing image data from the camera module to autonomously determine the alignment quality and guide the user to the optimal position.
Solution Approach 2:
The patent performs preliminary edge detection and correlation analysis on the guide image before the user captures the second image. This preliminary processing provides advance information about the alignment quality, allowing users to adjust their photographing position based on objective feedback before actually taking the picture, thereby improving precision without requiring complex post-processing equipment.
3Ease of operation
If notification data with visual and audio cues is provided, then the ease of operation is improved, but the loss of information increases due to additional processing steps
Solution Approach 1:
The patent segments the feedback information into distinct visual and audio notification components. The visual notification displays the correlation coefficient and alignment status separately, while audio notifications provide supplementary guidance. This segmentation allows the system to present processed information in multiple formats without requiring retention of all raw intermediate data, reducing information loss while maintaining ease of operation.
Data Source
AI summary
A panorama photography method and apparatus is provided to inform a use of an optimum photographing position for the next photograph when capturing in succession several adjacent photographs to obtain a combined panorama photograph. In the method, after a first image is captured, a guide image is generated from a predefined section of the first image, and a first edge is detected in the guide image. A preview image is acquired for a second image to be captured, and a second edge is detected in the preview image. The second edge is obtained from a predefined part of the preview image that coincides with the guide image. Based on comparison between the first and second edges, notification data are generated and outputted together with a synthetic image of the guide image and the preview image.