Scale-Space and Edge Detection Using Anisotropic Diffusion
IEEE Transactions on Pattern Analysis and Machine Intelligence
SIGGRAPH '96 Proceedings of the 23rd annual conference on Computer graphics and interactive techniques
Environment matting and compositing
Proceedings of the 26th annual conference on Computer graphics and interactive techniques
Environment matting extensions: towards higher accuracy and real-time capture
Proceedings of the 27th annual conference on Computer graphics and interactive techniques
Image-based environment matting
EGRW '02 Proceedings of the 13th Eurographics workshop on Rendering
EGRW '03 Proceedings of the 14th Eurographics workshop on Rendering
ACM SIGGRAPH 2004 Papers
Frequency-Based Environment Matting
PG '04 Proceedings of the Computer Graphics and Applications, 12th Pacific Conference
An Iterative Optimization Approach for Unified Image Segmentation and Matting
ICCV '05 Proceedings of the Tenth IEEE International Conference on Computer Vision - Volume 2
A Closed-Form Solution to Natural Image Matting
IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Transactions on Pattern Analysis and Machine Intelligence
| Hi-index | 0.00 |
The major drawback of real-time environment matting method is that the extracted environment matte data often contains significant amount of noise and errors. Although some filtering methods have been employed to remove the noise and obtain acceptable composition results, they are incapable of removing potential errors. In this paper, we first establish a light motion field to better describe the environmental matting effect of transparent objects and propose a new vector field fitting algorithm to simultaneously remove both noise and errors in the extracted matte data by using energy minimization approach. Experimental results show that our method is less sensitive to noise and error and can generate perceptually better composition results than the existing real-time environment matting approaches.