Abstract
We present an object relighting system that allows an artist to select an object from an image and insert it into a target scene. Through simple interactions, the system can adjust illumination on the inserted object so that it appears naturally in the scene. To support image-based relighting, we build object model from the image, and propose a perceptually-inspired approximate shading model for the relighting. It decomposes the shading field into (a) a rough shape term that can be reshaded, (b) a parametric shading detail that encodes missing features from the first term, and (c) a geometric detail term that captures fine-scale material properties. With this decomposition, the shading model combines 3D rendering and image-based composition and allows more flexible compositing than image-based methods. Quantitative evaluation and a set of user studies suggest our method is a promising alternative to existing methods of object insertion.
Original language | English (US) |
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Pages (from-to) | 22-37 |
Number of pages | 16 |
Journal | International Journal of Computer Vision |
Volume | 127 |
Issue number | 1 |
DOIs | |
State | Published - Jan 15 2019 |
Keywords
- Image relighting
- Image-based modeling
- Object insertion
- Shading model
ASJC Scopus subject areas
- Software
- Computer Vision and Pattern Recognition
- Artificial Intelligence