Natural image matting based on neighbor embedding

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

6 Scopus citations

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 back-ground 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.

Original languageEnglish
Title of host publicationComputer Vision/Computer Graphics Collaboration Techniques - Third International Conference, MIRAGE 2007, Proceedings
PublisherSpringer Verlag
Pages449-460
Number of pages12
ISBN (Print)3540714561, 9783540714569
DOIs
StatePublished - 2007
Event3rd International Conference, MIRAGE 2007: Computer Vision/Computer Graphics Collaboration Techniques - Rocquencourt, France
Duration: 28 Mar 200730 Mar 2007

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume4418 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference3rd International Conference, MIRAGE 2007: Computer Vision/Computer Graphics Collaboration Techniques
Country/TerritoryFrance
CityRocquencourt
Period28/03/0730/03/07

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