Camera Image Landform Analysis Without Angle Calibration
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Solution Overview
Problem
Conventional surveillance cameras require accurate installation height and angle data to compute three-dimensional object information, which can be difficult to maintain due to variations and changes in installation, making it inconvenient for practical use.
Innovation Solution
An image analysis method and camera apparatus that divides detection images into regions, computes heights using predefined installation angles, and applies regression algorithms to determine landform relations without precise angle calibration, allowing for accurate three-dimensional reconstruction.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional surveillance cameras use accurate installation height and angle data to compute three-dimensional object information, then measurement precision is improved, but device complexity and ease of operation deteriorate due to the need for calibration and maintenance
Solution Approach 1:
The system automatically determines installation parameters by analyzing reference plane areas in the captured image. The processor identifies regions with consistent height values, calculates plane formulas from these regions, and uses these to determine the installation angle and height without manual intervention or external calibration tools.
Solution Approach 2:
The patent replaces manual mechanical calibration procedures with automated image processing algorithms. Instead of physically adjusting and measuring the camera installation parameters, the system uses computational geometry and image analysis to automatically derive the installation angle and height from the captured image data.
2Measurement precision
If conventional surveillance cameras require manual calibration of installation parameters, then measurement precision is improved, but loss of time increases due to calibration procedures
Solution Approach 1:
The system performs preliminary analysis by automatically identifying reference plane areas and calculating plane formulas during the normal operation of capturing images. This preliminary computation of installation parameters eliminates the need for separate calibration procedures, as the system prepares the necessary geometric information in advance from the captured image data itself.
3Ease of operation
If surveillance cameras use fixed predefined installation angles, then ease of operation is improved, but measurement precision deteriorates due to inaccuracies in predefined parameters
Solution Approach 1:
The system uses feedback from the captured image data to verify and adjust the predefined installation parameters. By analyzing the height values of regions and comparing them against the plane formulas derived from reference plane areas, the system can confirm whether the predefined installation angle and height are accurate, or if adjustments are needed based on the actual image content.
Data Source
AI summary
An image analysis method is applied to a camera apparatus and used to analyze the landform inside a detection image captured by the camera apparatus via a predefined installation angle. The image analysis method includes dividing the detection image into a plurality of first regions to acquire a plurality of first height, defining some first regions with the same height and adjacent to each other as a first reference plane area to acquire a first plane formula, selecting at least one first region adjacent to and outside the first reference plane area, applying the selected first region for the first plane formula to acquire a first planar height and comparing the first planar height with an initial first height of the at least one first region, and determining landform between the first reference plane area and the selected at least one first region in accordance with a comparison result.