“Efficient Mask Expansion for Green-Screen Keying using Color Distributions” by Derouet-Jourdan, Salvati, Xing and Nishikawa
Conference:
Type(s):
Entry Number: 68
Title:
- Efficient Mask Expansion for Green-Screen Keying using Color Distributions
Presenter(s)/Author(s):
Abstract:
Masks are heavily used in image and video processing, particularly in the context of green screen keying. Designing good masks is a difficult task that involves painting over small details of images. Usually, only a rough mask is created. We propose an algorithm to expand such a mask, using color similarity. Our approach is fast, even on 4K images, and compares favorably with standard tools used in keying.
Keyword(s):
Additional Images:
![©Alexandre Derouet-Jourdan, Marc Salvati, Xiaoxiong Xing, and Takuro Nishikawa](https://history.siggraph.org/wp-content/uploads/2021/10/2019-Poster-68-Derouet-Jourdan_Efficient-Mask-Expansion-for-Green-Screen-Keying-04-scaled.jpg)
![©Alexandre Derouet-Jourdan, Marc Salvati, Xiaoxiong Xing, and Takuro Nishikawa](https://history.siggraph.org/wp-content/uploads/2021/10/2019-Poster-68-Derouet-Jourdan_Efficient-Mask-Expansion-for-Green-Screen-Keying-05-scaled.jpg)
![©Alexandre Derouet-Jourdan, Marc Salvati, Xiaoxiong Xing, and Takuro Nishikawa](https://history.siggraph.org/wp-content/uploads/2021/10/2019-Poster-68-Derouet-Jourdan_Efficient-Mask-Expansion-for-Green-Screen-Keying-06-scaled.jpg)