Realizing Illumination Consistency in Augmented Reality Based on Shadow Detection

Guangyun Wu; Zhiping Zhou

doi:10.3788/LOP202259.0215002

Journals >Laser & Optoelectronics Progress >Volume 59 >Issue 2 >Page 0215002 > Article

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

Realizing Illumination Consistency in Augmented Reality Based on Shadow Detection

Guangyun Wu^1、* and Zhiping Zhou^1、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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DOI: 10.3788/LOP202259.0215002 Cite this Article Set citation alerts

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

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Fig. 1. Comparison of shadow detection time

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Fig. 2. Comparison of shadow detection average time

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Fig. 3. Results of super pixel segmentation and shadow detection. (a) Original images; (b) after segmentation; (c) after merge; (d) detection results of the proposed algorithm

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Fig. 4. Register and rendering results

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Algorithm	$m_{r e c}$			$m_{p r e}$
Algorithm	UCF01	UCF02	UCF03	UCF01	UCF02	UCF03
Algorithm in Ref.［8］	0.898	0.904	0.858	0.926	0.924	0.928
Algorithm in Ref.［9］	0.905	0.915	0.887	0.925	0.935	0.937
Proposed algorithm	0.915	0.906	0.905	0.932	0.936	0.935

Table 1. Comparison of detection rate and recognition rate of different algorithms

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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