Dual Camera Depth Determination via Width Variation Analysis
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Solution Overview
Problem
Existing motion sensing devices face challenges in accurately determining the depth data of an operating body, such as a user's finger or arm, especially when the operating body is far from the dual camera device, leading to insufficient parallax and incorrect motion tracking.
Innovation Solution
A depth determining method and device that utilize two image capturing units to capture images of the operating body at different time points, calculate the width and displacement distance, and apply a transform function to determine the displacement depth, enhancing the accuracy of depth data by analyzing imaging variations across scan lines.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a pre-set dual camera device is used to establish depth data according to parallax, then depth data can be established, but when the operating body is far from the camera, insufficient parallax causes incorrect depth determination
Solution Approach 1:
The patent changes the measurement parameters from static parallax-based depth calculation to dynamic parameters including width variations and displacement distances captured at multiple time points. By monitoring how the width of the operating body changes over time and combining this with displacement data, the system can accurately determine depth even when the operating body is far from the camera, resolving the insufficiency of traditional parallax methods
Solution Approach 2:
The patent performs preliminary capture of width information and displacement distance at multiple time points before final depth calculation. By pre-capturing these intermediate parameters (width at different time points, displacement distances), the system prepares sufficient data to calculate depth accurately even for distant operating bodies that would otherwise provide insufficient parallax
2Area of stationary object
If the operating body is far from the dual camera device, then the field of view is maintained, but sufficient parallax cannot be generated for accurate depth determination
Solution Approach 1:
The patent transitions from relying solely on spatial parallax (two-dimensional camera baseline) to incorporating temporal dimension by capturing width and displacement data at multiple time points. This adds a time dimension to the measurement, allowing depth calculation to be derived from temporal changes in width and position rather than relying exclusively on spatial parallax between two camera viewpoints
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach allows for precise location and displacement depth calculation of the operating body, even when it is far from the camera, ensuring accurate motion sensing interactions by generating sufficient parallax and improving depth data accuracy.
Implementation Method 1
A first image and a second image that include the operating body are derived from at least two image capturing units respectively to calculate a first width of the operating body and a first displacement distance of the operating body between the first image and the second image
Implementation Method 2
In the related art, the identification capability of said depth data may be influenced by the resolution of the camera device, the field of view and the baseline between two camera units, etc. Besides, if the operating body, such as a user's finger or arm, is away from said dual camera device, the operating body located between two images in the dual camera device may not have sufficient parallax
Data Source
AI summary
A depth determining method and a depth determining device of an operating body are provided. The depth determining method includes following steps: deriving a first image and a second image that include the operating body from the at least two image capturing units respectively to calculate a first width of the operating body and a first displacement distance of the operating body between the first image and the second image in a first time point; deriving the first image and the second image that include the operating body from the at least two image capturing units respectively to calculate a second width of the operation body in a second time point; and calculating displacement depth of operating body between the first time point and the second time point by a transform function according to the first displacement distance and a different between the first width and the second width.