کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
6856588 | 1437966 | 2018 | 22 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Robust approach to inverse lighting using RGB-D images
دانلود مقاله + سفارش ترجمه
دانلود مقاله ISI انگلیسی
رایگان برای ایرانیان
کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
هوش مصنوعی
پیش نمایش صفحه اول مقاله

چکیده انگلیسی
Proper lighting is a key element in developing a photorealistic computer-generated image. This paper introduces a novel approach for robustly extracting lighting conditions from an RGB-D (RGB + depth) image. Existing studies on lighting estimation have developed image analysis techniques by constraining the scope and condition of the target objects. For example, they have assumed that the objects have homogeneous surfaces, inter-reflections can be ignored, and their three-dimensional (3D) geometries consist of a noise-free mesh. These assumptions, however, are unrealistic; real objects often have complicated non-homogeneous surfaces, inter-reflections that affect a considerable portion of illumination, or unpredictable noise that can affect sensor measurements. To overcome these limitations, this study takes non-homogeneous surface objects into account in the inverse lighting framework via segment-based scene representation. Moreover, we employ outlier removal and appropriate region selection to achieve robust lighting estimation in the presence of inter-reflections and noise. We demonstrate the effectiveness of the proposed approach by conducting extensive experiments on synthetic and real RGB-D images.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Information Sciences - Volume 438, April 2018, Pages 73-94
Journal: Information Sciences - Volume 438, April 2018, Pages 73-94
نویسندگان
Junsuk Choe, Hyunjung Shim,