Robust facial landmark detection for three-dimensional face segmentation and alignment
Robust facial landmark detection for three-dimensional face segmentation and alignment
复制标题
用于三维人脸分割和对齐的鲁棒面部标志检测
DOI：
10.1117/1.3475952
复制
发表时间：
2010-07
影响因子：
1.1
通讯作者：
Chen, Yan Qiu
中科院分区：
文献类型：
--
作者：
Wu, Hai Shan;Chen, Yan Qiu
三维人脸在人脸动画、身份识别、面部整形等领域有着广泛的应用。从原始扫描数据中分割和对齐3D人脸是使这些应用成功的第一个重要步骤。然而，伪影、面部表情和噪声的存在对这个问题提出了许多挑战。提出了一种通过定位鼻尖和鼻梁来自动分割和对齐三维人脸表面的方法。以原始扫描表面为输入，提出了一种新的基于特征的尺度空间矩分析方法，以准确和鲁棒地定位鼻尖，然后用于裁剪人脸区域。然后开发了一种称为测地线欧几里得比的技术来寻找鼻梁。每个面部基于鼻尖和鼻梁的位置对齐。该方法不仅是不变性的平移和旋转，但也存在的面部表情和文物，如头发，衣服，其他身体部位，等两个大型的3-D人脸数据库上的实验结果表明，该方法的准确性和鲁棒性。
Three-dimensional human faces have been applied in many fields, such as face animation, identity recognition, and facial plastic surgery. Segmenting and aligning 3-D faces from raw scanned data is the first vital step toward making these applications successful. However, the existence of artifacts, facial expressions, and noises poses many challenges to this problem. We propose an automatic and robust method to segment and align 3-D face surfaces by locating the nose tip and nose ridge. Taking a raw scanned surface as input, a novel feature-based moment analysis on scale spaces is presented to locate the nose tip accurately and robustly, which is then used to crop the face region. A technique called the geodesic Euclidean ratio is then developed to find the nose ridge. Each face is aligned based on the locations of nose tip and nose ridge. The proposed method is not only invariant to translations and rotations, but also robust in the presence of facial expressions and artifacts such as hair, clothing, other body parts, etc. Experimental results on two large 3-D face databases demonstrate the accuracy and robustness of the proposed method.
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DOI：
10.1090/s0002-9939-1995-1257106-5
发表时间：
1995-08
期刊：
--
影响因子：
--
作者：
K. Fujiwara
通讯作者：
K. Fujiwara
DOI：
--
发表时间：
--
期刊：
--
影响因子：
--
作者：
通讯作者：
--
影响因子：
1
作者：
FUJIWARA, K
通讯作者：
FUJIWARA, K
DOI：
10.1145/3596711.3596724
发表时间：
2023-08
期刊：
Seminal Graphics Papers: Pushing the Boundaries, Volume 2
影响因子：
--
作者：
G. Taubin
通讯作者：
G. Taubin
DOI：
10.1007/978-94-010-0446-6_2
发表时间：
2001
期刊：
--
影响因子：
--
作者：
R. Langevin
通讯作者：
R. Langevin