Light Source Estimation in Mobile Augmented Reality Scenes by Using Human Face Geometry
| Autor: | Emre Koc, Selim Balcisoy |
|---|---|
| Rok vydání: | 2014 |
| Předmět: |
Visual perception
Computer science business.industry ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Real-time rendering Light source Artificial Intelligence Hardware and Architecture Computer graphics (images) Computer vision Augmented reality Computer Vision and Pattern Recognition Artificial intelligence Electrical and Electronic Engineering business Software |
| Zdroj: | IEICE Transactions on Information and Systems. :1974-1982 |
| ISSN: | 1745-1361 0916-8532 |
| DOI: | 10.1587/transinf.e97.d.1974 |
| Popis: | Light source estimation and virtual lighting must be believable in terms of appearance and correctness in augmented reality scenes. As a result of illumination complexity in an outdoor scene, realistic lighting for augmented reality is still a challenging problem. In this paper, we propose a framework based on an estimation of environmental lighting from well-defined objects, specifically human faces. The method is tuned for outdoor use, and the algorithm is further enhanced to illuminate virtual objects exposed to direct sunlight. Our model can be integrated into existing mobile augmented reality frameworks to enhance visual perception. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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