Real-time Image Based Lighting for outdoor Augmented Reality under dynamically changing illumination conditions

被引:0
|
作者
Jensen, Tommy [1 ]
Andersen, Mikkel S. [1 ]
Madsen, Claus B. [1 ]
机构
[1] Aalborg Univ, Lab Comp Vis & Media Technol, Fredrik Bajers Vej 5, DK-9220 Aalborg, Denmark
关键词
Augmented Reality; rendering; relighting; Image Based Lighting; environment map;
D O I
暂无
中图分类号
TP31 [计算机软件];
学科分类号
081202 ; 0835 ;
摘要
Knowledge about illumination conditions in a real world scene has many applications, among them Augmented Reality which aims at placing virtual objects in the real world. An important factor for convincing augmentations is to use the illumination of the real world when rendering the virtual objects so they are shaded consistently and cast consistent shadows. The work presented in this paper aims at making a robust system capable of estimating the lighting of an outdoor scene, and apply the light changes to the virtual augmented objects that are placed within a real scene. The method uses an Irradiance Volume, modified to use an environment map of a given scene, to mimic the multiple lights reflected in a scene using Image Based Lighting, while normal Phong shading is used to mimic the sun shading. These are combined with a Shadow Volume method to ensure shadow interaction with the surrounding environment. For every frame an Illumination Estimation approximates local illumination light parameters used in the rendering of the augmented objects. The light parameters are furthermore used to, at runtime, create new environment maps, to update the irradiance volume. The result is a rendering pipeline capable of handling dynamic light changes, and applies them to augmented objects within a given scene, enabling realistic augmentations under changing illumination conditions.
引用
收藏
页码:364 / +
页数:2
相关论文
共 50 条
  • [1] Realistic Real-Time Outdoor Rendering in Augmented Reality
    Kolivand, Hoshang
    Sunar, Mohd Shahrizal
    PLOS ONE, 2014, 9 (09):
  • [2] Outdoor Illumination Estimation for Mobile Augmented Reality: Real-time Analysis of Shadow and Lit Surfaces to Measure the Daylight Illumination
    Bertolini, Fulvio
    Madsen, Claus
    PROCEEDINGS OF THE 15TH INTERNATIONAL JOINT CONFERENCE ON COMPUTER VISION, IMAGING AND COMPUTER GRAPHICS THEORY AND APPLICATIONS, VOL 1: GRAPP, 2020, : 227 - 234
  • [3] OUTDOOR ILLUMINATION ESTIMATION IN IMAGE SEQUENCES FOR AUGMENTED REALITY
    Madsen, Claus B.
    Lal, Brajesh B.
    GRAPP 2011: PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON COMPUTER GRAPHICS THEORY AND APPLICATIONS, 2011, : 129 - 139
  • [4] Consistent Real-time Lighting for Virtual Objects in Augmented Reality
    Yeoh, Ryan Christopher
    Zhou, Steven ZhiYing
    2009 8TH IEEE INTERNATIONAL SYMPOSIUM ON MIXED AND AUGMENTED REALITY - SCIENCE AND TECHNOLOGY, 2009, : 223 - 224
  • [5] Real-time adaptable and coherent rendering for outdoor augmented reality
    Sanghyun Seo
    Dongwann Kang
    Sangoh Park
    EURASIP Journal on Image and Video Processing, 2018
  • [6] Real-time adaptable and coherent rendering for outdoor augmented reality
    Seo, Sanghyun
    Kang, Dongwann
    Park, Sangoh
    EURASIP JOURNAL ON IMAGE AND VIDEO PROCESSING, 2018,
  • [7] Real-Time Skin Color Detection under Rapidly Changing Illumination Conditions
    Liu, Leyuan
    Sang, Nong
    Yang, Saiyong
    Huang, Rui
    IEEE TRANSACTIONS ON CONSUMER ELECTRONICS, 2011, 57 (03) : 1295 - 1302
  • [8] Real-time robust background subtraction under rapidly changing illumination conditions
    Vosters, Luc
    Shan, Caifeng
    Gritti, Tommaso
    IMAGE AND VISION COMPUTING, 2012, 30 (12) : 1004 - 1015
  • [9] Real-time and markerless vision-based tracking for outdoor augmented reality applications
    Stricker, D
    Kettenbach, T
    IEEE AND ACM INTERNATIONAL SYMPOSIUM ON AUGMENTED REALITY, PROCEEDINGS, 2001, : 189 - 190
  • [10] Real-time Illumination and Visual Coherence for Photorealistic Augmented/Mixed Reality
    Alhakamy, A'Aeshah
    Tuceryan, Mihran
    ACM COMPUTING SURVEYS, 2020, 53 (03)