VR Headset Stereoscopic Image Testing via Feature Point Analysis
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Solution Overview
Problem
Current methods for testing virtual reality head display devices to determine if they can generate stereoscopic images observable by human eyes are manual, time-consuming, and lack accuracy, leading to inconsistent results and high costs.
Innovation Solution
A method and apparatus that acquire and analyze pairs of left-eye and right-eye images generated by the virtual reality head display device, using feature points with unique preset color values to determine the relative positions and deviations, thereby automatically assessing the device's capability to produce stereoscopic images.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual testing methods are used to determine stereoscopic image generation capability, then testing can be performed with simple equipment, but testing time is excessive and accuracy is insufficient
Solution Approach 1:
The patent replaces manual mechanical testing with an automated image processing system. The testing apparatus automatically captures images from the VR device, extracts feature points, calculates parallax values, and determines stereoscopic image generation capability through computer-based algorithms, eliminating manual intervention and significantly reducing testing time while improving accuracy.
Solution Approach 2:
The patent creates a digital copy of the visual output by capturing images through imaging devices. Instead of direct manual observation, the system creates image copies that can be processed, analyzed, and measured objectively, allowing for precise quantitative assessment of stereoscopic image generation without time-consuming human evaluation.
2Reliability
If manual testing methods are used, then equipment complexity is low, but testing results are inconsistent and costs are high
Solution Approach 1:
The patent implements an automated feedback loop where the testing system objectively measures parallax values, compares them against predefined thresholds, and automatically determines whether stereoscopic images are generated. This eliminates subjective human judgment and ensures consistent, repeatable results across multiple tests and different operators.
Solution Approach 2:
The patent transforms the qualitative assessment of stereoscopic images into quantitative parameter measurements by extracting feature point coordinates and calculating parallax values. This parameter transformation enables objective, consistent evaluation through numerical comparison rather than subjective visual assessment.
3Productivity
If automated image analysis is implemented, then testing accuracy and efficiency are improved, but device complexity increases
Solution Approach 1:
The patent divides the testing system into distinct functional modules: image capture modules for acquiring images, feature point extraction modules for identifying key points, parallax calculation modules for computing displacement values, and evaluation modules for determining stereoscopic image generation. This segmentation allows each module to be optimized independently while maintaining overall system efficiency.
Data Source
AI summary
A method and an apparatus are provided for testing a virtual reality head display device. The method includes: analyzing an acquired pair of images which corresponds to a test image to acquire sets of feature point positions; a left-eye feature point and a right-eye feature point for each set having the same preset color value which is a unique color value in the test image; determining a difference between a first relative position of the left-eye feature point in the left-eye image and a second relative position of the right-eye feature point in the right-eye image according to each set of feature point positions; and determining a result regarding whether the virtual reality head display device is capable to generate a stereoscopic image observable by human eyes according to the difference.