| 書目名稱 | Efficient Quadrature Rules for Illumination Integrals | | 副標(biāo)題 | From Quasi Monte Car | | 編輯 | Ricardo Marques,Christian Bouville,Kadi Bouatouch | | 視頻video | http://file.papertrans.cn/303/302998/302998.mp4 | | 叢書名稱 | Synthesis Lectures on Visual Computing: Computer Graphics, Animation, Computational Photography and | | 圖書封面 |  | | 描述 | Rendering photorealistic images is a costly process which can take up to several days in the case of high quality images. In most cases, the task of sampling the incident radiance function to evaluate the illumination integral is responsible for an important share of the computation time. Therefore, to reach acceptable rendering times, the illumination integral must be evaluated using a limited set of samples. Such a restriction raises the question of how to obtain the most accurate approximation possible with such a limited set of samples. One must thus ensure that sampling produces the highest amount of information possible by carefully placing and weighting the limited set of samples. Furthermore, the integral evaluation should take into account not only the information brought by sampling but also possible information available prior to sampling, such as the integrand smoothness. This idea of sparse information and the need to fully exploit the little information available is present throughout this book. The presented methods correspond to the state-of-the-art solutions in computer graphics, and take into account information which had so far been underexploited (or even neglec | | 出版日期 | Book 2015 | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-031-79567-1 | | isbn_softcover | 978-3-031-79566-4 | | isbn_ebook | 978-3-031-79567-1Series ISSN 2469-4215 Series E-ISSN 2469-4223 | | issn_series | 2469-4215 | | copyright | Springer Nature Switzerland AG 2015 |
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