An Improved Augmented-Reality Framework for Differential Rendering Beyond the Lambertian-World Assumption
| Autor: | Yan Zhao, Shigang Wang, Aijia Zhang |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
business.industry
Computer science ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Computer Graphics and Computer-Aided Design Rendering (computer graphics) Visualization medicine.anatomical_structure Signal Processing medicine Computer vision Augmented reality Human eye Computer Vision and Pattern Recognition Artificial intelligence Caustic (optics) Specular reflection business Software ComputingMethodologies_COMPUTERGRAPHICS |
| Zdroj: | IEEE Transactions on Visualization and Computer Graphics. 27:4374-4386 |
| ISSN: | 2160-9306 1077-2626 |
| Popis: | In augmented reality, it is important to achieve visual consistency between inserted virtual objects and the real scene. As specular and transparent objects can produce caustics, which affect the appearance of inserted virtual objects, we herein propose a framework for differential rendering beyond the Lambertian-world assumption. Our key idea is to jointly optimize illumination and parameters of specular and transparent objects. To estimate the parameters of transparent objects efficiently, the psychophysical scaling method is introduced while considering visual characteristics of the human eye to obtain the step size for estimating the refractive index. We verify our technique on multiple real scenes, and the experimental results show that the fusion effects are visually consistent. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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