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Interactive segmentation for indoor scenes

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Authors
Tai, C.
Liu, T.
Bagchi, J.
Zhu, Maggie
Allebach, J.
Date
2017
Type
Conference Paper

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Tai, C. and Liu, T. and Bagchi, J. and Zhu, M. and Allebach, J. 2017. Interactive segmentation for indoor scenes, IS and T International Symposium on Electronic Imaging Science and Technology, pp. 51-59.
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IS and T International Symposium on Electronic Imaging Science and Technology
Source Conference
IS and T International Symposium on Electronic Imaging Science and Technology
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School of Public Health
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Abstract

© 2017, Society for Imaging Science and Technology. We present a click-based interactive segmentation for indoor scenes, which allows the user to select an object or region within the scene in a few clicks. The goal for the click-based approach is to provide the user with a simple method to reduce the amount of input required for segmentation. We first present an effective global segmentation strategy, which provides a rough separation of different textures. The user, then, places a few clicks to segment the target. A novel Trimap assignment strategy is proposed to utilize the click information. To study the performance of our method, psychophysical experiments were conducted to compare our click-based approach with other existing methods.