STEREOSCOPIC IMAGE QUALITY IN VIRTUAL ENVIRONMENTS

被引:0
|
作者
Boehs, Gustavo [1 ]
Vieira, Milton L. H. [1 ]
机构
[1] Univ Fed Santa Catarina, BR-88040900 Florianopolis, SC, Brazil
关键词
stereoscopic; quality assessment; virtual environments;
D O I
暂无
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
The number of products capable of displaying stereoscopic (also known as 3D) images has been growing in recent years. The use of this technology has outgrown the silver screen and is now available in televisions, computers, tablets, and even cell phones. Due to its nature, content created for stereoscopic media requires attention in relation to some characteristics not present in the context of monoscopic media. With a focus on image creation, the objective of this research was to assess how different stereoscopic image generation methods can affect human perception. To achieve this a virtual environment was created and from it different videos were generated using various methods including converging cameras, parallel cameras, and depth image-based rendering (DIBR). These videos were shown to participants who assessed the picture quality, depth quality, and visual comfort of the media. It was found that there was very little difference between the perception of images generated by parallel and convergent cameras, while there was a substantial difference in terms of perception between these two types of image and DIBR images. Such results can significantly affect the choice of technology for stereoscopic image generation, influencing the production costs, the methods involved, and human and machine time consumption.
引用
收藏
页数:8
相关论文
共 50 条
  • [41] Quality of Service for Networked Virtual Environments
    Gracanin, Denis
    Zhou, Yunxian
    DaSilva, Luiz A.
    IEEE COMMUNICATIONS MAGAZINE, 2004, 42 (04) : 42 - 48
  • [42] No-reference stereoscopic image quality assessment based on cyclopean image and enhanced image
    Sumei Li
    Yixiu Ding
    Yongli Chang
    Signal, Image and Video Processing, 2020, 14 : 565 - 573
  • [43] Non-Reference Stereoscopic Image Quality Evaluation Based on Fusion Image
    Li S.
    Xue J.
    Qin L.
    Tianjin Daxue Xuebao (Ziran Kexue yu Gongcheng Jishu Ban)/Journal of Tianjin University Science and Technology, 2019, 52 (10): : 1055 - 1061
  • [44] JUXTAPOSITION BETWEEN COMPRESSION AND DEPTH FOR STEREOSCOPIC IMAGE QUALITY ON PORTABLE AUTO-STEREOSCOPIC DISPLAY
    Jumisko-Pyykko, Satu
    Haustola, Tomi
    Boev, Atanas
    Gotchev, Atanas
    2011 3DTV CONFERENCE: THE TRUE VISION - CAPTURE, TRANSMISSION AND DISPLAY OF 3D VIDEO (3DTV-CON), 2011,
  • [45] Blind Stereoscopic Image Quality Evaluator Based on Binocular Semantic and Quality Channels
    Sim, Kyohoon
    Yang, Jiachen
    Lu, Wen
    Gao, Xinbo
    IEEE TRANSACTIONS ON MULTIMEDIA, 2022, 24 : 1389 - 1398
  • [46] Stereoscopic Image Quality Assessment via Convolutional Neural Networks
    Sang, Qingbing
    Gu, Tingting
    Li, Chaofeng
    Wu, Xiaojun
    2017 INTERNATIONAL SMART CITIES CONFERENCE (ISC2), 2017,
  • [47] Blind Stereoscopic Image Quality Assessment Based on Hierarchical Learning
    Liu, Tsung-Jung
    Lin, Ching-Ti
    Liu, Hsin-Hua
    Pei, Soo-Chang
    IEEE ACCESS, 2019, 7 : 8058 - 8069
  • [48] Quality Assessment for Stereoscopic Image based on DCT frequency Information
    Sun, Chao
    Liu, Xingang
    Kang, Kai
    Yang, Laurence T.
    2013 12TH IEEE INTERNATIONAL CONFERENCE ON TRUST, SECURITY AND PRIVACY IN COMPUTING AND COMMUNICATIONS (TRUSTCOM 2013), 2013, : 1394 - 1398
  • [49] STEREOSCOPIC IMAGE QUALITY METRIC BASED ON BINOCULAR PERCEPTION MODEL
    Ryu, Seungchul
    Kim, Dong Hyun
    Sohn, Kwanghoon
    2012 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP 2012), 2012, : 609 - 612
  • [50] Stereoscopic Image Quality Assessment Based on Binocular Adding and Subtracting
    Yang, Jiachen
    Jiang, Bin
    Ji, Chunqi
    Zhu, Yinghao
    Lu, Wen
    COMPUTER VISION, PT II, 2017, 772 : 237 - 247