研究生: |
洪優慧 Raissa Renata |
---|---|
論文名稱: |
虛擬實境中的光源形式與強度對空間亮度的影響 Influence of Light Types and Intensity on Spatial Brightness in Virtual Reality |
指導教授: |
歐立成
Li-Chen Ou |
口試委員: |
孫沛立
Pei-Li Sun 李宗憲 Tsung-Xian Lee |
學位類別: |
碩士 Master |
系所名稱: |
應用科技學院 - 色彩與照明科技研究所 Graduate Institute of Color and Illumination Technology |
論文出版年: | 2023 |
畢業學年度: | 112 |
語文別: | 英文 |
論文頁數: | 151 |
外文關鍵詞: | spatial brightness, light types, light intensity, virtual reality, brightness matching |
相關次數: | 點閱:68 下載:4 |
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This study investigates the influence of light types and intensity on spatial brightness perception in virtual reality (VR). Spatial brightness is the result of the complex relationship between the luminance of an object and its surrounding environment. Four experiments were conducted using different types and intensities of virtual light sources in a VR environment, where the observers were asked to match the brightness of a test scene to a reference scene. The results show that different light types, such as spot, point, and rect lights, affected the perceived spatial brightness differently. The existence of an object on a vertical surface had insignificant influenced the spatial brightness perception. The order of reference light intensity and the presence of shadows also had little impact on the brightness matching. Experimental results show that light types and intensity are important factors for creating realistic and immersive VR experiences. At the end of the thesis, directions for future research in this area are recommended.
Al-Hiyari, N., & Jusoh, S. (2020). The Current Trends of Virtual Reality Application in Medical Education. 12th International Conference on Electronics, Computers and Artificial Intelligence (ECAI), 1–6.
Aya, K., Yamaguchi, H., Kato, M., Hara, N., Miki, Y., & Yoshizawa, N. (2015). The Spatial Brightness in the Non-uniform Illuminated Space.
Aya, K., Yoshizawa, N., Yamaguchi, H., Hara, N., Kato, M., & Miki, Y. (2015). The relationship between the brightness of overall space and the brightness in the specific visual field in the non-uniform illuminated space. Proceedings of 28th CIE Session 2015, 1466–1470.
Berns, R. S. (1996). Methods for characterizing CRT displays. Displays, 16(4), 173–182.
Bhandary, S. K., Dhakal, R., Sanghavi, V., & Verkicharlai, P. K. (2021). Ambient light level varies with different locations and environmental conditions: Potential to impact myopia. PLoS ONE, 16(7). https://doi.org/10.1371/journal.pone.0254027
Bullough, J. D., Radetsky, L. C., Besenecker, U. C., & Rea, M. S. (2014). Influence of spectral power distribution on scene brightness at different light levels. LEUKOS - Journal of Illuminating Engineering Society of North America, 10(1), 3–9. https://doi.org/10.1080/15502724.2013.827516
Ceccato, V., & Martin, C. (2023). Who takes part in virtual reality studies? An analysis of lighting research. Sustainable Futures, 6. https://doi.org/10.1016/j.sftr.2023.100134
Chamilothori, K., Chinazzo, G., Rodrigues, J., Dan-Glauser, E. S., Wienold, J., & Andersen, M. (2019). Subjective and physiological responses to façade and sunlight pattern geometry in virtual reality. Building and Environment, 150, 144–155. https://doi.org/10.1016/j.buildenv.2019.01.009
Chamilothori, K., Wienold, J., & Andersen, M. (2019). Adequacy of Immersive Virtual Reality for the Perception of Daylit Spaces: Comparison of Real and Virtual Environments. LEUKOS - Journal of Illuminating Engineering Society of North America, 15(2–3), 203–226. https://doi.org/10.1080/15502724.2017.1404918
Chen, Y., Cui, Z., & Hao, L. (2019). Virtual reality in lighting research: Comparing physical and virtual lighting environments. Lighting Research and Technology, 51(6), 820–837. https://doi.org/10.1177/1477153518825387
Cuttle, C. (2004). Brightness, lightness, and providing “a preconceived appearance to the interior.” Light. Res. Technol., 36, 201–214. https://doi.org/https://doi.org/10.1191/1365782804li115oa
Ding, X., & Li, Z. (2022). A review of the application of virtual reality technology in higher education based on Web of Science literature data as an example. Front. Educ. , 7.
Donn, M., & Sullivan, J. (2016). LIGHT DISTRIBUTION AND SPATIAL BRIGHTNESS: RELATIVE IMPORTANCE OF THE WALLS, CEILING, AND FLOOR. Lighting Research & Technology. https://www.researchgate.net/publication/307722943
Duff, J., Kelly, K., & Cuttle, C. (2017). Spatial brightness, horizontal illuminance and mean room surface exitance in a lighting booth. Lighting Research and Technology, 49(1), 5–15. https://doi.org/10.1177/1477153515597733
Fairchild, M. D. (2013). Color Appearance Models (3rd ed., Vol. 3). John Wiley & Sons, Ltd.
Gil Rodríguez, R., Bayer, F., Toscani, M., Guarnera, D., Guarnera, G. C., & Gegenfurtner, K. R. (2022). Colour Calibration of a Head Mounted Display for Colour Vision Research Using Virtual Reality. SN Computer Science, 3(1). https://doi.org/10.1007/s42979-021-00855-7
Hsieh, M. (2012). The energy-saving effect and prediction method under various illuminance distribution types. Building and Environment, 58, 145–151. https://doi.org/10.1016/j.buildenv.2012.07.001
Hu, Z., Zhang, P., Wei, B., Ding, W., & Dai, Q. (2023). Assessment of spatial brightness for a visual field in interior spaces based on indirect corneal illuminance. Optics Express, 31(2), 997. https://doi.org/10.1364/oe.477637
Ishida, T., & Ogiuchi, Y. (2002). Psychological Determinants of Brightness of a Space - Perceived Strength of Light Source and Amount of Light in the Space. J. Light Vis. Environ, 26(2), 29–35.
Jakubiec, J. A., Mahic, A., Van Den Wymelenberg, K., & Inanici, M. (2016). Accurate Measurement of Daylit Interior Scenes Using High Dynamic Range Photography. 42–52. https://www.researchgate.net/publication/305703131
Kato, M., Aya, K., Yamaguchi, H., Yoshizawa, N., Hara, N., Miki, Y., & Miki, Y. (2016). Evaluation Method of Spatial Brightness by Directional Diffusivity and Mean Luminance. Proceedings of CIE 2016 “Lighting Quality and Energy Efficiency.” CIE, 664–668.
Kato, M., & Sekiguchi, K. (2005). “Impression of Brightness of a Space” Judged by Information from the Entire Space. J. Light Vis. Environ. , 29, 123–134.
Kim, H.-S., Kim, E. J., & Kim, J. (2023). The Optimal Color Space for Realistic Color Reproduction in Virtual Reality Content Design. Electronics, 12(22), 4630. https://doi.org/10.3390/electronics12224630
Kingdom, F. A. A. (2011). Lightness, brightness and transparency: A quarter century of new ideas, captivating demonstrations and unrelenting controversy. Vision Research, 51(7), 652–673. https://doi.org/10.1016/j.visres.2010.09.012
Kobayashi, S., Nakamura, Y., & Inui, M. (1998). Impression of Overall Brightness in a Non-Uniformly Illuminated Space. J. Light Vis. Environ., 22(1), 1_34-1_41. https://doi.org/https://doi.org/10.2150/jlve.22.1_34
Krupinski, R. (2020). Virtual reality system and scientific visualisation for smart designing and evaluating of lighting. Energies, 13(20). https://doi.org/10.3390/en13205518
Kwak, Y., & Macdonald, L. (2000a). Characterisation of a desktop LCD projector. Displays, 21, 179–194. www.elsevier.nl/locate/displa
Kwak, Y., & Macdonald, L. (2000b). Characterisation of a desktop LCD projector. Displays, 21(5), 179–194. www.elsevier.nl/locate/displa
Lindh, U. W., & Billger, M. (2021). Light distribution and perceived spaciousness: Light patterns in scale models. Sustainability (Switzerland), 13(22). https://doi.org/10.3390/su132212424
Loe, D. (1999). Measuring the lit appearance of a space. Light and Lighting, 11, 35–37.
Marzouk, M., ElSharkawy, M., & Mahmoud, A. (2022). Analysing user daylight preferences in heritage buildings using virtual reality. Building Simulation, 15(9), 1561–1576. https://doi.org/10.1007/s12273-021-0873-9
Okajima, K., & Fujimotoi, S. (2008). Effect of Spatial-Frequency Distribution on Brightness Perception in Light Environment. J Illum Engng Inst Jpn, 92, 77–82.
Otsu, N. (1979). A Threshold Selection Method from Gray-Level Histograms. IEEE Transactions on Systems, Man, and Cybernetics, 9(1), 62–66.
Pracki, P., & Krupiński, R. (2021). Brightness and uniformity perception of virtual corridor with artificial lighting systems. Energies, 14(2). https://doi.org/10.3390/en14020412
Qi, Y., Yang, Z., Sun, W., Lou, M., Lian, J., Zhao, W., Deng, X., & Ma, Y. (2022). A Comprehensive Overview of Image Enhancement Techniques. Archives of Computational Methods in Engineering, 29(1), 583–607. https://doi.org/10.1007/s11831-021-09587-6
Rea, M. S., Mou, X., & Bullough, J. D. (2016). Scene brightness of illuminated interiors. Lighting Research and Technology, 48(7), 823–831. https://doi.org/10.1177/1477153515581412
Rockcastle, S. F., Chamilothori, K., & Andersen, M. (2017, September). An Experiment in Virtual Reality to Measure Daylight-Driven Interest in Rendered Architectural Scenes. Proceedings of the Building Simulation 2017: 15th Conference of IBPSA 2017.
Scorpio, M., Laffi, R., Masullo, M., Ciampi, G., Rosato, A., Maffei, L., & Sibilio, S. (2020). Virtual reality for smart urban lighting design: Review, applications and opportunities. Energies, 13(15). https://doi.org/10.3390/en13153809
Sliney, D. H. (2016). What is light? the visible spectrum and beyond. Eye (Basingstoke), 30(2), 222–229. https://doi.org/10.1038/eye.2015.252
Society of Light and Lighting. (2002). Code for lighting. Butterworth-Heinemann.
Sullivan, J. (2021). Measuring the Effects of Light Distribution on Spatial Brightness [Wellington School of Architecture]. https://doi.org/10.26686/wgtn.16713670.v1
Sullivan, J., & Donn, M. (2018). MEASURING THE EFFECT OF LIGHT DISTRIBUTION ON SPATIAL BRIGHTNESS. 356–366. https://doi.org/10.25039/x44.2017.op49
Syamimi, A., Gong, Y., & Liew, R. (2020). VR industrial applications―A singapore perspective. In Virtual Reality and Intelligent Hardware (Vol. 2, Issue 5, pp. 409–420). KeAi Communications Co. https://doi.org/10.1016/j.vrih.2020.06.001
Tamura, N., Tsumura, N., & Miyake, Y. (2003). Masking model for accurate colorimetric characterization of LCD. Journal of the SID, 11(2), 333.
Tiller, D. K., & Veitch, J. A. (1995). Perceived room brightness: Pilot study on the effect of luminance distribution. Light. Res. Technol, 27, 93–101. https://doi.org/https://doi.org/10.1177/14771535950270020401
Toscani, M., Gil, R., Guarnera, D., Guarnera, G., Kalouaz, A., & Gegenfurtner, K. R. (2019). Assessment of OLED head mounted display for vision research with virtual reality. Proceedings - 15th International Conference on Signal Image Technology and Internet Based Systems, SISITS 2019, 738–745. https://doi.org/10.1109/SITIS.2019.00120
Unreal Engine 5.3 Documentation. (2023, September). Https://Docs.Unrealengine.Com/5.3/En-US/. https://docs.unrealengine.com/5.3/en-US/light-types-and-their-mobility-in-unreal-engine/
Veitch, J. A., Newsham, G. R., Mancini, S., & Arsenault, C. D. (2010). Lighting and Office Renovation Effects on Employee and Organizational Well-Being (No. NRC-IRC Research Report RR-306). In Lighting and office renovation effects on employee and organizational well-being. https://doi.org/10.4224/20374532
Vittori, F., Pigliautile, I., & Pisello, A. L. (2021). Subjective thermal response driving indoor comfort perception: A novel experimental analysis coupling building information modelling and virtual reality. Journal of Building Engineering, 41. https://doi.org/10.1016/j.jobe.2021.102368
Zaman, N., Sarker, P., & Tavakkoli, A. (2023). Calibration of head mounted displays for vision research with virtual reality. Journal of Vision, 23(6). https://doi.org/10.1167/JOV.23.6.7
Zdravković, S., Economou, E., & Gilchrist, A. (2006). Lightness of an object under two illumination levels. Perception, 35(9), 1185–1201. https://doi.org/10.1068/p5446