Yuanjie Zheng, Chandra Kambhamettu, Jingyi Yu, Tom Bauer, and Karl Steiner
In Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2008)
| We propose an online interactive matting
algorithm, which we call FuzzyMatte. Our framework is
based on computing the fuzzy connectedness (FC) from
each unknown pixel to the known foreground and background.
FC effectively captures the adjacency and similarity
between image elements and can be efficiently computed
using the strongest connected path searching algorithm.
The final alpha value at each pixel can then be calculated
from its FC. While many previous methods need to
completely recompute the matte when new inputs are provided,
FuzzyMatte effectively integrates these new inputs
with the previously estimated matte by efficiently recomputing
the FC value for a small subset of pixels. Thus, the
computational overhead between each iteration of the refinement
is significantly reduced. We demonstrate Fuzzy-
Matte on a wide range of images. We show that FuzzyMatte
updates the matte in an online interactive setting and generates
high quality matte for complex images. |
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FuzzyMatte: A Computationally Efficient Scheme for Interactive Matting Yuanjie Zheng, Chandra Kambhamettu, Jingyi Yu, Tom Bauer, and Karl Steiner In Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2008) |