Laser & Optoelectronics Progress, Volume. 59, Issue 2, 0215002(2022)

Realizing Illumination Consistency in Augmented Reality Based on Shadow Detection

Guangyun Wu1、* and Zhiping Zhou1,2
Author Affiliations
  • 1School of Internet of Things Engineering, Jiangnan University, Wuxi , Jiangsu 214122, China
  • 2Engineering Research Center of Internet of Things Engineering Technology Application, Ministry of Education, Jiangnan University, Wuxi , Jiangsu 214122, China
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    In the augmented reality field, it is a challenge to achieve the illumination consistency of virtual objects. To address the low shadow detection efficiency problem when virtual objects are endowed with shadow, a method based on the shadow area is proposed to construct a shadow volume to achieve the illumination consistency of virtual objects. The proposed method first performs superpixel merging based on the color distance similarity according to adjacent superpixel centers. Superpixel collection is obtained using an improved simple linear iterative clustering (Ⅰ-SLIC) algorithm on the images. The number of superpixel collections and the subsequent processing complexity are reduced accordingly. Then, a Gaussian mixture background model is employed to detect the shadow of the segmented image, and the shadow body is constructed using the shadow region and illumination parameters. Finally, the registration of the virtual object is completed according to the transformation matrix combined with the shadow volume for rendering. Experimental results demonstrate that the proposed method realizes the shadow rendering of virtual objects and greatly improves the realism of augmented reality applications. Compared with existing methods, the proposed method demonstrates an obvious advantage in terms of time efficiency.

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    Guangyun Wu, Zhiping Zhou. Realizing Illumination Consistency in Augmented Reality Based on Shadow Detection[J]. Laser & Optoelectronics Progress, 2022, 59(2): 0215002

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    Paper Information

    Category: Machine Vision

    Received: Jan. 5, 2021

    Accepted: Mar. 10, 2021

    Published Online: Jan. 12, 2022

    The Author Email: Wu Guangyun (616235675@qq.com)

    DOI:10.3788/LOP202259.0215002

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