Invention Grant
- Patent Title: Extrapolating lighting conditions from a single digital image
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Application No.: US15621444Application Date: 2017-06-13
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Publication No.: US10609286B2Publication Date: 2020-03-31
- Inventor: Yannick Hold-Geoffroy , Sunil S. Hadap , Kalyan Krishna Sunkavalli , Emiliano Gambaretto
- Applicant: Adobe Inc.
- Applicant Address: US CA San Jose
- Assignee: Adobe Inc.
- Current Assignee: Adobe Inc.
- Current Assignee Address: US CA San Jose
- Agency: Keller Jolley Preece
- Main IPC: G06T5/00
- IPC: G06T5/00 ; H04N5/232 ; G06K9/46 ; G06T15/50 ; G06N3/08 ; H04N5/235 ; G06K9/00 ; G06K9/62 ; G06N3/04

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.
Public/Granted literature
- US20180359416A1 EXTRAPOLATING LIGHTING CONDITIONS FROM A SINGLE DIGITAL IMAGE Public/Granted day:2018-12-13
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