Image Processing Device for Golf Swing 3D Coordinate Calculation
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Solution Overview
Problem
Existing image processing methods for calculating the position coordinates of physical characteristic points during a golf swing motion from a moving image are inaccurate due to the club's non-parallel orientation to the image plane, leading to incorrect estimations when using the length of the club as a reference.
Innovation Solution
An image processing device and method that identifies positions of two reference points and a physical characteristic point, calculates the angle of a line segment connecting these points relative to the image plane, and determines a conversion ratio to accurately calculate position coordinates in real space by using the distance between the reference points in the image and real space.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If the position of physical characteristic points is estimated based on the length of a reference object (club) in the image, then the calculation process is simple, but the measurement precision deteriorates due to the club's non-parallel orientation to the image plane
Solution Approach 1:
The patent transitions from two-dimensional image plane measurements to three-dimensional real space calculations by introducing depth information through angle detection. The system detects the angle between the reference object and image plane, then uses this angular information to calculate conversion ratios that account for perspective distortion, effectively adding a dimensional correction factor to the 2D-to-3D transformation process.
Solution Approach 2:
The patent dynamically adjusts the conversion ratio parameter based on the detected angle between the reference object and image plane. Instead of using a fixed conversion ratio, the system calculates a variable conversion ratio that changes with the object's orientation, thereby compensating for perspective effects and improving measurement accuracy across different viewing angles.
2Device complexity
If a single image acquisition device is used to capture the moving image, then the device complexity is reduced, but the measurement precision deteriorates due to inability to capture depth information from multiple viewpoints
Solution Approach 1:
The single image acquisition device performs multiple functions: it captures the moving image, detects the angle of the reference object relative to the image plane, and calculates the conversion ratio. The system uses itself to gather all necessary information (image data and angular information) required for accurate 3D position calculation, eliminating the need for additional depth-sensing devices.
Solution Approach 2:
The patent extracts angular orientation parameters from the single image source and uses these parameters to dynamically adjust the conversion ratio. By changing the conversion ratio based on detected angle parameters, the system compensates for the lack of multi-viewpoint depth information, enabling accurate 3D position reconstruction from a single camera's 2D image sequence.
Data Source
AI summary
The image processing device comprises: a position identification section for identifying positions of two reference points and a position of physical characteristic point of the subject in the moving image; an angle acquisition section for obtaining an angle of a line segment connecting the two reference points with respect to the image plane; a conversion ratio calculation section for calculating a conversion ratio indicating a ratio between the length in the moving image and the length in real space; and a coordinate calculation section for calculating position coordinates of at least one of: the two reference points and the physical characteristic point of the subject in the image plane in the real space, based on the calculated conversion ratio and at least one of: the identified positions of the two reference points and the identified position of the physical characteristic point of the subject.