کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
4969275 | 1449928 | 2017 | 14 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Using 3D face priors for depth recovery
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موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
چشم انداز کامپیوتر و تشخیص الگو
پیش نمایش صفحه اول مقاله
![عکس صفحه اول مقاله: Using 3D face priors for depth recovery Using 3D face priors for depth recovery](/preview/png/4969275.png)
چکیده انگلیسی
For repairing inaccurate depth measurements from commodity RGB-D sensors, existing depth recovery methods primarily rely on low-level and rigid prior information. However, as the depth quality deteriorates, the recovered depth maps become increasingly unreliable, especially for non-rigid objects. Thus, additional high-level and non-rigid information is needed to improve the recovery quality. Taking as a starting point the human face that is the primary prior available in many high-level tasks, in this paper, we incorporate face priors into the depth recovery process. In particular, we propose a joint optimization framework that consists of two main steps: transforming the face model for better alignment and applying face priors for improved depth recovery. Face priors from both sparse and dense 3D face models are studied. By comparing with the baseline method on benchmark datasets, we demonstrate that the proposed method can achieve up to 23.8% improvement in depth recovery with more accurate face registrations, bringing inspirations to both non-rigid object modeling and analysis.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Visual Communication and Image Representation - Volume 48, October 2017, Pages 16-29
Journal: Journal of Visual Communication and Image Representation - Volume 48, October 2017, Pages 16-29
نویسندگان
Chongyu Chen, Hai Xuan Pham, Vladimir Pavlovic, Jianfei Cai, Guangming Shi, Yuefang Gao, Hui Cheng,