Reflectance and Illumination Estimation for Realistic Augmentations of Real Scenes

被引：0

作者：

Jiddi, Salma ^{[1
]}

Robert, Philippe ^{[2
]}

Marchand, Eric ^{[3
]}

机构：

[1] Technicolor R&D France, IRISA, Cesson Sevigne, France

[2] Technicolor R&D France, Cesson Sevigne, France

[3] Univ Rennes 1, IRISA, Rennes, France

来源：

ADJUNCT PROCEEDINGS OF THE 2016 IEEE INTERNATIONAL SYMPOSIUM ON MIXED AND AUGMENTED REALITY (ISMAR-ADJUNCT) | 2016年

关键词：

I.4.1 [Image Processing and Computer Vision]: Digitization and Image Capture; Reflectance; I.4.8 [Image Processing and Computer Vision]: Scene Analysis; Photometry;

D O I：

10.1109/ISMAR-Adjunct.2016.76

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

The acquisition of surface material properties and lighting conditions is a fundamental step for photo-realistic Augmented Reality (AR). In this paper, we present a new method for the estimation of diffuse and specular reflectance properties of indoor real static scenes. Using an RGB-D sensor, we further estimate the 3D position of light sources responsible for specular phenomena and propose a novel photometry-based classification for all the 3D points. Our algorithm allows convincing AR results such as realistic virtual shadows as well as proper illumination and specularity occlusions.

引用

页码：244 / 249

页数：6

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