Overview
IEC 62629-62-12:2025 - "3D displays - Part 62-12: Measurement methods for virtual‑image type – Image quality" defines standard measurement conditions and methods for assessing image quality of 3D virtual‑image displays, notably head‑up displays (HUDs) that superimpose 3D visual information on the outside world. The standard applies to virtual‑image type systems (HUDs) and explicitly excludes eyewear displays because of differences in eye box size and field of view (FOV). Eye‑tracking functions are disabled during the image‑quality measurements specified.
Key topics and requirements
- Measurement scope and definitions: terms such as virtual image distance, field of view (FOV), eye box, binocular misalignment, and ghost image are defined for consistent testing.
- Light measuring device (LMD): requires a spectroradiometer‑type spot LMD with wavelength coverage at least 380 nm to 780 nm for luminance and chromaticity measurement.
- Uniform‑illuminated‑flat‑background tests: standardized configuration, illumination conditions, procedures and reporting for assessing contrast and chromaticity of a 3D virtual image against different uniform backgrounds.
- Ghost image measurement: measurement configurations, positioning, test procedures and reporting for detecting and quantifying unintended secondary (ghost) images common in automotive HUDs.
- Binocular misalignment: methods to measure unintended horizontal and vertical position differences between left and right eye views of a zero‑disparity virtual object, including measurement positions, conditions, procedures and result reporting.
- Measurement reporting: standardized reporting formats and examples to ensure repeatable, comparable results across laboratories and manufacturers.
Applications and users
This standard is essential for:
- Automotive HUD manufacturers validating 3D image quality (contrast, chromaticity, ghosting, alignment).
- Display and optical system engineers developing virtual‑image 3D systems.
- Test laboratories and certification bodies performing standardized image‑quality assessments.
- R&D and QA teams that need objective metrics for HUD performance, acceptance testing, and supplier verification.
Practical uses include performance benchmarking, troubleshooting ghosting or misalignment issues, and ensuring consistent user experience across production units.
Related standards
Keywords: IEC 62629-62-12, 3D displays, virtual-image type, HUD, image quality, measurement methods, ghost image, binocular misalignment, LMD, spectroradiometer, uniform-illuminated-flat-background.