Single Image Geometric Parameter Determination
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current methods for determining geometric parameters of geographic objects from images are time-consuming and costly, often requiring multiple cameras or images, which increase complexity and expense.
Innovation Solution
A method that determines calibration values for a camera to capture images, allowing for the identification of points in the image corresponding to object endpoints, and calculates real-world distances based on these values, enabling the determination of geometric parameters like length and width from a single image.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If multiple cameras or multiple images are used to determine geometric parameters, then measurement precision is improved, but device complexity and loss of time increase
Solution Approach 1:
The patent extracts the essential calibration information from a single image by identifying specific features (road markings, curbs, signs) and using correspondence calculations between identified points in that single image. This eliminates the need for multiple cameras or multiple images while maintaining measurement capability through selective feature extraction and mathematical processing of the single captured image.
2Measurement precision
If multiple cameras or multiple images are used to determine geometric parameters, then measurement precision is improved, but loss of time increases
Solution Approach 1:
The patent performs preliminary calibration by capturing a calibration image that contains known geometric features (road markings, curbs, signs) before capturing the target image. The calibration process establishes correspondence relationships between image coordinates and real-world dimensions in advance. When the target image is captured, the pre-established calibration data is applied directly, eliminating the need for repeated multi-image sequences and significantly reducing measurement time while maintaining precision.
3Manufacturing precision
If real-world measurements are performed by hired personnel, then manufacturing precision is improved, but productivity decreases
Solution Approach 1:
The patent replaces manual measurement processes (mechanical systems involving hired personnel physically measuring road features) with an automated optical-mathematical system. A camera captures images, and computer algorithms perform correspondence calculations between identified points in the image and real-world dimensions using pre-established calibration data. This substitution eliminates the need for manual field measurements while maintaining or improving precision, thereby dramatically increasing productivity and measurement efficiency.
Data Source
AI summary
Systems, devices, features, and methods for determining a geometric parameter from an image are disclosed. For example, one method for determining the geometric parameter is used to develop a navigation database. The method comprises determining calibration values corresponding to a camera mounted on a vehicle or a pedestrian. A plurality of images of geographic features are captured by the camera. A single image from the plurality of images is identified or selected. A geometric parameter of a region in the single image is determined based on the determined calibration values. For example, the geometric parameter is a real-world distance, such as a real-world length or width.