Natural image matting based on neighbor embedding

Authors:
Kwang Hee Won;Soon-Yong Park;Soon Ki Jung
Affiliations:
Department of Computer Engineering, Kyungpook National University, Daegu, South Korea;Department of Computer Engineering, Kyungpook National University, Daegu, South Korea;Department of Computer Engineering, Kyungpook National University, Daegu, South Korea
Venue:
MIRAGE'07 Proceedings of the 3rd international conference on Computer vision/computer graphics collaboration techniques
Year:
2007

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Abstract

In this paper, an automatic technique for natural image matting is proposed. We use visual characteristics of the background and foreground regions for matting. Through the Locally Linear Embedding (LLE) of high-dimensional features, we estimate foreground and background color of unknown pixels. We use gradient information and a hierarchical model to enhance the proposed matting technique. Instead of a user interaction for tri-map generation, we propose an automatic technique that obtains a tri-map using a multi-view camera. A reliability map for the depth of a scene facilitates the generation of a tri-map. It is proven that feature sets obtained from training images can be applied to similar images or video frames.