3D Position Estimation from Single Camera Image
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Solution Overview
Problem
Existing position estimation methods require multiple imaging devices and face challenges with calibration due to performance differences, making it difficult and time-consuming to estimate the three-dimensional position of a moving object.
Innovation Solution
A position estimation method and device that extracts images from a single direction, estimates the object's direction by matching images with varying inclinations, and calculates its position using a combination of orthogonal directions, eliminating the need for multiple devices and simplifying calibration.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If multiple imaging devices are used to capture images from different angles, then three-dimensional position estimation can be achieved, but device complexity and calibration difficulty increase
Solution Approach 1:
The patent extracts the essential information needed for 3D position estimation from a single captured image by identifying the moving object and analyzing its shape variations across different directions. This eliminates the need to use multiple imaging devices while maintaining position estimation accuracy.
Solution Approach 2:
The patent segments the position estimation problem into three independent directional components (first direction, second direction, and third direction). By analyzing the object's shape and orientation separately in each direction and then combining these segmented results, the system achieves accurate 3D positioning from a single image.
2Measurement precision
If multiple imaging devices are deployed, then position estimation capability is improved, but installation time and effort increase
Solution Approach 1:
The patent extracts the position estimation function from a multi-device system and implements it using a single imaging device. By processing the captured image to identify the moving object and analyze its directional shape variations, the system achieves the same position estimation capability without requiring multiple devices to be installed and configured.
3Adaptability or versatility
If multiple imaging devices with different performance characteristics are used, then comprehensive coverage is achieved, but calibration difficulty increases
Solution Approach 1:
The patent extracts the comprehensive imaging coverage capability from multiple devices and achieves it through computational analysis of a single image. By analyzing the moving object's shape and orientation characteristics in the captured image, the system determines position information that would otherwise require multiple devices with different performance characteristics to capture.
Data Source
AI summary
A position estimation method according to the present disclosure includes a step of extracting an image of a moving object from a captured image obtained by imaging a predetermined imaging range including the moving object from a first direction, a step of estimating a direction of the moving object by matching a plurality of images viewed from the first direction with the extracted image of the moving object, the moving object having different inclinations in a second direction orthogonal to the first direction and in a third direction orthogonal to the first direction and the second direction, and a step of estimating a position of the moving object in the second direction and the third direction from the captured image, and estimating a position of the moving object in the first direction based on the estimated positions in the second direction and the third direction and the estimated change in the direction of the moving object.