Consistent Matting for Light Field Images

Donghyeon Cho, Sunyeong Kim, and Yu-Wing Tai

Abstract. We present a new image matting algorithm to extract consistent alpha mattes across sub-images of a light field image. Instead of matting each sub-image individually, our approach utilizes the epipolar plane image (EPI) to construct comprehensive foreground and background sample sets across the sub-images without missing a true sample. The sample sets represent all color variation of foreground and background in a light field image, and the optimal alpha matte is obtained by choosing the best combination of foreground and background samples that minimizes the linear composite error subject to the EPI correspondence constraint. To further preserve consistency of the estimated alpha mattes across different sub-images, we impose a smoothness constraint along the EPI of alpha mattes. In experimental evaluations, we have created a dataset where the ground truth alpha mattes of light field images were obtained by using the blue screen technique. A variety of experiments show that our proposed algorithm produces both visually and quantitatively high-quality matting results for light field images.

Keywords: Image Matting, Light field image, EPI

LNCS 8692, p. 90 ff.

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