Interactive Segmentation For Indoor Scenes

• Published in: Electronic Imaging Vol. 29; no. 10; pp. 51 - 59
• Main Authors: Tai, Chun-Jung, Liu, Tongyang, Bagchi, Judy, Zhu, Fengqing M., Allebach, Jan P.
• Format: Journal Article
• Language: English
• Published: Society for Imaging Science and Technology 29.01.2017
• Subjects: Graph Cut; Image Segmentation; Indoor Scene Segmentation; Interactive Segmentation
• ISSN: 2470-1173; 2470-1173
• DOI: 10.2352/ISSN.2470-1173.2017.10.IMAWM-167

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.