Alpha estimation in natural images
Top Cited Papers
- 7 November 2002
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- Vol. 1, 18-25 vol.1
- https://doi.org/10.1109/cvpr.2000.855793
Abstract
Many boundaries between objects in the world project onto curves in an image. However, boundaries involving natural objects (e.g., trees, hair, water, smoke) are often unworkable under this model because many pixels receive light from more than one object. We propose a technique for estimating alpha, the proportion in which two colors mix to produce a color at the boundary. The technique extends blue screen matting to backgrounds that have almost arbitrary color distributions, though coarse knowledge of the boundary's location is required. Results show a number of different objects moved from one image to another while maintaining naturalism.Keywords
This publication has 6 references indexed in Scilit:
- Interactive Segmentation with Intelligent ScissorsGraphical Models and Image Processing, 1998
- Blue screen mattingPublished by Association for Computing Machinery (ACM) ,1996
- AutoKeyPublished by Association for Computing Machinery (ACM) ,1995
- Color quantization of imagesIEEE Transactions on Signal Processing, 1991
- Spectral mixture modeling: A new analysis of rock and soil types at the Viking Lander 1 SiteJournal of Geophysical Research, 1986
- A family of new algorithms for soft fillingACM SIGGRAPH Computer Graphics, 1984