簡易檢索 / 詳目顯示

研究生: 林佑融
Yu-Jung Lin
論文名稱: 一個提高光學穿透式頭戴顯示器文字能見度的文字顯示系統
A Text Display System for Improving the Visibility of Optical See-through HMDs
指導教授: 孫沛立
Pei-li Sun
口試委員: 陳鴻興
Hung-shing Chen
溫照華
Chao-hua Wen
林宗翰
Tzung-han Lin
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: 2018
畢業學年度: 106
語文別: 中文
論文頁數: 75
中文關鍵詞: 光學穿透式顯示器文字顏色易讀性人因實驗顯著圖景深圖
外文關鍵詞: OST-HMD, color text, legibility, saliency map, depth image, human factor
相關次數: 點閱:253下載:6
分享至:
查詢本校圖書館目錄 查詢臺灣博碩士論文知識加值系統 勘誤回報
  • 光學透視頭戴式顯示器近年來已成為非常受矚目、有吸引力的一項技術。與虛擬實境不同,使用者能在真實環境中有更多身臨其境的感覺。在擴增實境的應用中,文字訊息的高易讀性對於光學穿透式頭戴顯示器相關擴增實境應用是重要的。
    然而,在室外環境會受到環境亮度以及資訊複雜的背景影像的干擾,而將大幅度降低光學穿透式頭戴顯示器上顯示的文字訊息易讀性和醒目性。本研究探討了不同室外場景下文字訊息的顏色、遮罩、位置和深度(視距)等最佳設置。
    一系列心理視覺實驗用以分析文字訊息的易讀性及其首選位置。影像統計與首選位置兩者關係使用線性回歸和類神經網絡來分析。本研究也開發了一套人工智慧即時演算系統,為光學透視頭戴式顯示器擴增實境的應用將文字訊息擺設至大眾偏好的位置。


    Optical see-through head-mounted display (OST-HMD) has become a very attractive technology in recent years. Unlike virtual reality environments, user would have more immersive feeling in real environments. In the applications of augmented reality (AR), high legibility of text information is important to an optical see-through head mount display for AR related applications.
    However, in the outdoor environment, bright and complex scene would greatly reduce the legibility and awareness of text displayed on the OST-HMD. This study explores the optimal settings including color, mask and location of text messages under different outdoor scenes.
    A series of psycho-visual experiments were carried out to analyze the legibility of the text messages and their preferred locations. The relationship between image statistics and the preferred locations was analyzed by linear regression and artificial neural networks. An artificial intelligence real-time system was developed to place the text message onto the preferred location for AR applications of the OST-HMD. Also a real-time system is made to demonstrate its visual effects.

    中文摘要 .....................................................................................................................................i ABSTRACT ............................................................................................................................... ii 誌 謝 ......................................................................................................................................... iii 目錄 ........................................................................................................................................... iv 圖目錄 ....................................................................................................................................... vi 表目錄 ...................................................................................................................................... vii 第 1 章 緒論 ........................................................................................................................... 1 1.1 研究背景與動機 ............................................................................................................ 1 1.2 研究目的 ........................................................................................................................ 2 1.3 研究範圍與限制 ............................................................................................................ 2 1.4 論文架構 ........................................................................................................................ 3 1.5 論文發表 ........................................................................................................................ 4 第 2 章 文獻探討 ................................................................................................................... 5 2.2.1 文字遮罩與色彩探討 ............................................................................................. 9 2.2.2 影像顯著區域偵測 ............................................................................................... 10 2.3 線性迴歸 ...................................................................................................................... 13 2.4 倒傳遞類神經網路 ...................................................................................................... 14 第 3 章 研究方法 ................................................................................................................. 16 3.1 實驗設備 ...................................................................................................................... 17 3.2 實驗流程 ...................................................................................................................... 19 3.2.1文字遮罩易讀性與醒目性 .................................................................................... 19 3.2.2文字位置與深度偏好實驗 .................................................................................... 20 第 4 章 文字遮罩易讀性與醒目性 ..................................................................................... 21 4.1 實驗目的 ...................................................................................................................... 21 4.2 實驗設計 ...................................................................................................................... 22 4.2.2 實驗對象 ............................................................................................................... 28 v 4.2.3 實驗問卷 ............................................................................................................... 28 4.3 實驗結果與分析 .......................................................................................................... 29 4.3.1 實驗一:單色遮罩模型 ....................................................................................... 29 4.3.2 實驗二:色差極大化實驗 ................................................................................... 32 4.3.3 實驗三:雙色文字實驗 ....................................................................................... 34 4.4 小結 .............................................................................................................................. 35 第 5 章 文字位置與深度偏好實驗 ............................................................................... 36 5.1 實驗目的 ...................................................................................................................... 36 5.2 實驗設計 ...................................................................................................................... 37 5.2.1 位置偏好實驗 ....................................................................................................... 37 5.2.2 深度偏好實驗 ....................................................................................................... 40 5.3 實驗結果與分析 .......................................................................................................... 45 5.3.1 線性迴歸 ............................................................................................................... 45 5.3.2 倒傳遞類神經網路 ............................................................................................... 46 5.3.3 平均正確率(R%) .................................................................................................. 47 5.3.4 均方誤(MSE) ........................................................................................................ 47 5.3.5 位置偏好實驗 ....................................................................................................... 49 5.3.6 深度偏好實驗 ....................................................................................................... 51 5.4 小結 .............................................................................................................................. 55 第 6 章 系統實作 ................................................................................................................. 56 6.1 環境建置 ...................................................................................................................... 56 6.2 模擬即時顯示文字與背景影像融合系統 .................................................................. 58 6.3 文字遮罩函式建置 ...................................................................................................... 60 6.4 系統整合與結果 .......................................................................................................... 61 第 7 章 結論與建議 ............................................................................................................. 63 參考文獻 ................................................................................................................................. 64

    [1] Rolland, Jannick P., Richard L. Holloway, and Henry Fuchs. "Comparison of optical and video see-through, head-mounted displays." Proceedings of SPIE, 2351: 293-307 (1995).
    [2] Sutherland, Ivan E. "The ultimate display." Multimedia: From Wagner to Virtual Reality, W. W. Norton & Company, Inc., 506-508 (1965):
    [3] Caudell, Thomas P., and David W. Mizell. "Augmented reality: An application of heads-up display technology to manual manufacturing processes." Proceedings of the Twenty-Fifth Hawaii International Conference on. Vol. 2., IEEE (1992).
    [4] Kiyokawa, Kiyoshi, Yoshinori Kurata, and Hiroyuki Ohno. "An optical see-through display for enhanced augmented reality." Proceedings of Graphics Interface, 10-11 (2000).
    [5] Van Krevelen, D. W. F., and Ronald Poelman. "A survey of augmented reality technologies, applications and limitations." International journal of virtual reality, 9(2):1 (2010).
    [6] Orlosky, Jason, Kiyoshi Kiyokawa, and Haruo Takemura. "Managing mobile text in head mounted displays: studies on visual preference and text placement." ACM SIGMOBILE Mobile Computing and Communications Review, 18(2):20-31(2014).
    [7] Tanaka, Kohei, et al. "An information layout method for an optical see-through head mounted display focusing on the viewability." ISMAR 2008. 7th IEEE/ACM International Symposium on. IEEE, (2008).
    [8] Hincapié-Ramos, Juan David, et al. "SmartColor: Real-time color correction and contrast for optical see-through head-mounted displays." Mixed and Augmented Reality (ISMAR), 2014 IEEE International Symposium on. IEEE, (2014).
    [9] Weiland, Christian, Anne-Kathrin Braun, and Wolfgang Heiden. "Colorimetric
    and photometric compensation for optical see-through displays." International Conference on Universal Access in Human-Computer Interaction. (2009).
    [10] Sridharan, Srikanth Kirshnamachari, et al. "Color correction for optical see-through displays using display color profiles." Proceedings of the 19th ACM Symposium on Virtual Reality Software and Technology. ACM, (2013).
    [11] Rolland, Jannick P., and Henry Fuchs. "Optical versus video see-through head-mounted displays in medical visualization." Teleoperators & Virtual Environments, 9(3):287-309 (2000).
    [12] Rea, Mark S., and Michael J. Ouellette. "Relative visual performance: A basis for application." Lighting Research & Technology, 23(3):135-144 (1991).
    [13] Rea, Mark S. "Toward a model of visual performance: foundations and data." Journal of the Illuminating Engineering Society, 15(2): 41-57(1986).
    [14] Tanaka, Kohei, et al. "An information layout method for an optical see-through head mounted display focusing on the viewability." Mixed and Augmented Reality, 2008. ISMAR 2008. 7th IEEE/ACM International Symposium on. IEEE, (2008).
    [15] Iwamoto, Kazuyo, and Yuko Kizuka. "Evaluation of depth perception of monocular video see-through head mounted display." Systems, Man, and Cybernetics (SMC), 2011 IEEE International Conference on. IEEE, (2011).
    [16] Zhai, Yun, and Mubarak Shah. "Visual attention detection in video sequences using spatiotemporal cues." Proceedings of the 14th ACM international conference on Multimedia. ACM, (2006).
    [17] Cheng, Ming-Ming, et al. "Global contrast based salient region detection." IEEE Transactions on Pattern Analysis and Machine Intelligence, 37(3): 569-582 (2015).
    [18] Murch, Gerald M. "Physiological principles for the effective use of color." IEEE Computer Graphics and Applications, 4(11): 48-55 (1984).
    [19] Matthews, Michael L., John V. Lovasik, and Karen Mertins. "Visual performance and subjective discomfort in prolonged viewing of chromatic displays." Human Factors, 31(3): 259-271 (1989).
    [20] Lippert, Thomas M. "6.5 Color-Difference Prediction of Legibility Performance for CRT Raster Imagery." ITE Technical Report, 10(11): 24 (1986).
    [21] Matthews, M. L., and K. Mertins. "Working with color CRTs: Pink eye, yellow fever, and feeling blue." Megaw (Ed.), Proceedings of Ergonomic Society’s 1988 Annual Conference. (1988).
    [22] Gabbard, Joseph L., J. Edward Swan, and Deborah Hix. "The effects of text drawing styles, background textures, and natural lighting on text legibility in outdoor augmented reality." Teleoperators & Virtual Environments, 15.1 (2006): 16-32.
    [23] Leykin, Alex, and Mihran Tuceryan. "Automatic determination of text readability over textured backgrounds for augmented reality systems." Mixed and Augmented Reality, 2004. ISMAR 2004., (2004).
    [24] Hincapié-Ramos, Juan David, et al. "SmartColor: Real-time color correction and contrast for optical see-through head-mounted displays." Mixed and Augmented Reality (ISMAR), (2014).
    [25] Itti, Laurent, Christof Koch, and Ernst Niebur. "A model of saliency-based visual attention for rapid scene analysis." IEEE Transactions on pattern analysis and machine intelligence, 20(11): 1254-1259 (1998).
    [26] Liu, Tie, et al. "Learning to detect a salient object." Computer Vision and Pattern Recognition, 2007. CVPR'07. IEEE Conference on. IEEE, (2007).
    [27] Fan, Xin, et al. "Visual attention based image browsing on mobile devices." Multimedia and Expo, 2003. ICME'03. Proceedings. 2003 International Conference on. Vol. 1. IEEE, (2003).
    [28] Guo, Chenlei, and Liming Zhang. "A novel multiresolution spatiotemporal saliency detection model and its applications in image and video compression." IEEE Trans. Image Processing, 19(1): 185-198 (2010).
    [29] Walther, Dirk, and Christof Koch. "Modeling attention to salient proto-objects." Neural networks, 19(9): 1395-1407 (2006).
    [30] Alsmadi, Mutasem Khalil Sari, Khairuddin Bin Omar, and Shahrul Azman Noah. "Back propagation algorithm: the best algorithm among the multi-layer perceptron algorithm." International Journal of Computer Science and Network Security, 9(4): 378-383 (2009).
    [31] Tominaga, Shoji, Color coordinate conversion via neural networks, Colour Imaging: Vision and Technology, ed. By L.W MacDonald and M. R. Luo, Wiley, 165-178 (1999).
    [32] Westland, Stephen, Caterina Ripamonti, and Vien Cheung. Computational Colour Science Using MATLAB. 2nd ed., Wiley, 13-18 (2012).

    QR CODE