HMD IPD Detection via Stereoscopic Eye Feature Analysis
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Solution Overview
Problem
Head-mountable displays (HMDs) struggle to accurately match display parameters, such as inter-pupillary distance (IPD), to provide a correct stereoscopic view, leading to potential user discomfort due to misalignment of image separation, which affects the portrayal of depth in three-dimensional content.
Innovation Solution
A system utilizing a stereoscopic camera and processing apparatus to detect the user's IPD by capturing and analyzing image pairs, aligning features like pupils, and calculating the disparity between images to determine the accurate eye separation, allowing for adjustment and processing of images to match the user's IPD for optimal 3D display.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a head-mountable display is used to provide stereoscopic content, then the user can experience three-dimensional viewing, but the display parameters may not be accurately matched to the user's eye separation, causing user discomfort
Solution Approach 1:
The system performs preliminary detection of the user's inter-pupillary distance (IPD) before displaying stereoscopic content. A camera captures an image of the user's eyes, and the processor calculates the IPD based on the positions of pupils or other eye features in the captured image. This preliminary measurement allows the display parameters to be adjusted in advance to match the user's specific eye separation, ensuring accurate stereoscopic presentation from the outset.
2Measurement precision
If display parameters are adjusted to match user's IPD, then the stereoscopic view accuracy is improved, but the system complexity increases due to the need for IPD detection mechanisms
Solution Approach 1:
The HMD system integrates multiple functions into a single device. The camera serves both as a viewing component and as an IPD detection tool. The processor that renders stereoscopic content also performs the IPD calculation by analyzing the camera image. This multi-functionality approach allows accurate IPD matching without adding separate detection hardware, thereby reducing overall system complexity while maintaining high measurement precision.
3Ease of operation
If the HMD system includes IPD detection capability, then user comfort is improved, but the device complexity and cost increase
Solution Approach 1:
The HMD system performs self-measurement of the user's IPD by capturing an image of the user's eyes and automatically calculating the eye separation distance. The system does not require external measurement tools or manual input from the user. This self-service approach improves user comfort through personalized display parameters while avoiding the need for additional external detection devices, thereby limiting the increase in device complexity.
Data Source
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AI summary
A detection method comprises detecting features of a user's right eye and left eye in a stereoscopic image pair of the user; detecting the image depths of the right eye and left eye features in the stereoscopic image pair; comparing the detected depths for the right and left eye features; and when the difference between the detected depths is less than a threshold difference, detecting the separation of the user's eyes from the separation of the three dimensional positions of the right eye and left eye features.