公开(公告)号：US20180359416A1

公开(公告)日：2018-12-13

申请号：US15621444

申请日：2017-06-13

Applicant: Adobe Systems Incorporated

Inventor： Yannick Hold-Geoffroy ,  Sunil S. Hadap ,  Kalyan Krishna Sunkavalli ,  Emiliano Gambaretto

IPC: H04N5/232 ,  G06K9/46 ,  G06T15/50 ,  G06N3/08 ,  H04N5/235 ,  G06K9/00 ,  G06T5/00

CPC classification number: H04N5/23245 ,  G06K9/00664 ,  G06K9/4661 ,  G06N3/08 ,  G06T5/009 ,  G06T15/506 ,  H04N5/23222 ,  H04N5/2351

Abstract: The present disclosure is directed toward systems and methods for predicting lighting conditions. In particular, the systems and methods described herein analyze a single low-dynamic range digital image to estimate a set of high-dynamic range lighting conditions associated with the single low-dynamic range lighting digital image. Additionally, the systems and methods described herein train a convolutional neural network to extrapolate lighting conditions from a digital image. The systems and methods also augment low-dynamic range information from the single low-dynamic range digital image by using a sky model algorithm to predict high-dynamic range lighting conditions.