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California State Polytechnic University – Pomona

1. Zhu, Vincent. Improving Hair Segmentation using Image Matting.

Degree: MS, Department of Computer Science, 2019, California State Polytechnic University – Pomona

Many real-life intelligent applications such as human beautification and recommender systems, demand accurate hair segmentation from a single portrait image. Recent advances in deep learning achieve or even surpass human-level performance in a multitude of intelligent applications ranging from image classification to game playing. However, due to the lack in a large scale of facial images labeled with high-quality hair masks, current deep learning models appear to have difficulty classifying hair strands accurately. For this research, focusing on semantic hair segmentation, we investigate the use of image matting in deep learning to generate accurate hair masks. In particular, we apply image matting to expand from an initial segmented hair region from deep learning models, via different sampling and propagation matting methods to recover missing hair strands. Afterwards, an ensemble learning approach is proposed to find an optimal performance through the combination of multiple matting results. The experimental results show that image matting applied to hair masks can achieve notably improved results with fine details in hair segmentation. Advisors/Committee Members: Ji, Hao (advisor), Sun, Yu (committee member).

Subjects/Keywords: machine learning

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Zhu, V. (2019). Improving Hair Segmentation using Image Matting. (Masters Thesis). California State Polytechnic University – Pomona. Retrieved from http://hdl.handle.net/10211.3/214069

Chicago Manual of Style (16th Edition):

Zhu, Vincent. “Improving Hair Segmentation using Image Matting.” 2019. Masters Thesis, California State Polytechnic University – Pomona. Accessed November 17, 2019. http://hdl.handle.net/10211.3/214069.

MLA Handbook (7th Edition):

Zhu, Vincent. “Improving Hair Segmentation using Image Matting.” 2019. Web. 17 Nov 2019.

Vancouver:

Zhu V. Improving Hair Segmentation using Image Matting. [Internet] [Masters thesis]. California State Polytechnic University – Pomona; 2019. [cited 2019 Nov 17]. Available from: http://hdl.handle.net/10211.3/214069.

Council of Science Editors:

Zhu V. Improving Hair Segmentation using Image Matting. [Masters Thesis]. California State Polytechnic University – Pomona; 2019. Available from: http://hdl.handle.net/10211.3/214069

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