Partial Image Magnification With Automated PTZ Adjustment
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Solution Overview
Problem
Manual PTZ operations in document cameras are cumbersome and inefficient, requiring multiple steps to achieve desired image magnification.
Innovation Solution
A system and method for partially magnifying images using a camera device and computer device to automatically select and adjust optical zoom, determine feature points, and capture target areas, enabling automated PTZ operations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual PTZ operations are used to zoom and adjust pan/tilt, then image magnification can be achieved, but the operation becomes cumbersome and time-consuming
Solution Approach 1:
The system automatically identifies feature points in the image and calculates the required pan/tilt/zoom adjustments without user intervention. The computer executes algorithms to determine optimal camera parameters, making the system serve itself rather than requiring manual operation.
Solution Approach 2:
The patent replaces manual mechanical PTZ operations with an automated computational system. Instead of manually adjusting physical camera controls, the system uses computer vision algorithms to analyze images and automatically controls camera parameters, substituting mechanical manual adjustment with electronic automation.
2Measurement precision
If multiple pan/tilt operations are performed manually, then the desired position can be reached, but the process becomes complex and inefficient
Solution Approach 1:
The system performs preliminary analysis of the entire image to identify feature points and calculate the optimal single-step pan/tilt/zoom adjustment. By pre-calculating the best adjustment based on feature point distribution, the system avoids multiple trial operations and achieves the desired position in one coordinated action.
Solution Approach 2:
The patent combines pan, tilt, and zoom operations into a single coordinated automated adjustment. Instead of performing separate manual operations for each parameter, the system calculates and executes all adjustments simultaneously based on feature point analysis, merging multiple operations into one efficient action.
3Manufacturing precision
If automated feature matching and image processing are implemented, then display quality is enhanced, but system complexity increases
Solution Approach 1:
The system introduces a computer as an intermediary between the camera and the user. The computer executes image processing algorithms and feature matching, acting as a mediator that enhances image quality while managing the complexity of automated operations. This intermediary handles the computational complexity, keeping the camera and user interface relatively simple.
Data Source
AI summary
A method for partially magnifying an image includes steps as follows. A target area is selected in the first image, where the target area includes at least one feature point; the specified optical zoom is adjusted according to the position of the target area in the first image, so that the target area is completely displayed in the second image; the corresponding position of the at least one feature point in the second image is determined; based on the corresponding position of at least one feature point in the second image, an image corresponding to the target area is captured from the second image.