58‐2: Objective Metrics and Theoretical Model for Evaluating the Spatial Reality Reproduction Performance of Head‐Mounted Display

This paper explores the issue of spatial reality reproduction (SRR) that arises from the inherent differences between the human eye and the camera viewpoint in video see‐through (VST) of the head‐mounted display. We present a set of indicators and methods to objectively evaluate the performance of SRR. These indicators include scaling, positioning, distortion, motion distortion, and stereo depth. Additionally, we delineate the corresponding measurement equipment and methods. A comprehensive evaluation of these indicators can help us establish a theoretical model, which may incorporate an appropriate weighting for each indicator. This model could facilitate the calculation of the final score through a weighted average, enabling us to assess the strengths and weaknesses of the headset's SRR performance.

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Publication Details

Journal
SID Symposium Digest of Technical Papers
Published
2025-06-01
DOI
https://doi.org/10.1002/sdtp.18283
Primary Topic
Geochemistry and Geologic Mapping
Type
article
Field-Weighted Citation Impact
0.00
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article

58‐2: Objective Metrics and Theoretical Model for Evaluating the Spatial Reality Reproduction Performance of Head‐Mounted Display

SID Symposium Digest of Technical Papers
Geochemistry and Geologic Mapping
article

58‐2: Objective Metrics and Theoretical Model for Evaluating the Spatial Reality Reproduction Performance of Head‐Mounted Display

article en

Abstract

This paper explores the issue of spatial reality reproduction (SRR) that arises from the inherent differences between the human eye and the camera viewpoint in video see‐through (VST) of the head‐mounted display. We present a set of indicators and methods to objectively evaluate the performance of SRR. These indicators include scaling, positioning, distortion, motion distortion, and stereo depth. Additionally, we delineate the corresponding measurement equipment and methods. A comprehensive evaluation of these indicators can help us establish a theoretical model, which may incorporate an appropriate weighting for each indicator. This model could facilitate the calculation of the final score through a weighted average, enabling us to assess the strengths and weaknesses of the headset's SRR performance.

SID Symposium Digest of Technical PapersVol. 56(1)
Ningbo Science and Technology Bureau (CN)
Openalex Percentile: Top 70%
Geochemistry and Geologic Mapping
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