Feature Extraction and Matching of 3D Face Model Based on Facial Landmark Detection

Zhu, Yunrui; Luo, Xun; Zúñiga, Claudia; Lozano-Garzón, Carlos; Alomia, Gustavo

doi:10.1109/icvrv51359.2020.00070

Cited by 2 publications

(2 citation statements)

References 2 publications

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“…According to the geometric characteristics of the face, 3D measurement is divided into straight-line length measurement, vertical length measurement, and spatial angle measurement [27][28][29]. Among them, the straight-line length measurement can be projected by the vector of two points to its corresponding horizontal axis, and then its length is calculated; the vertical length measurement is to project the vector between the two points in the vertical direction and then calculate its length.…”

Section: Extraction and Measurement Of Facial Esthetic Key Pointsmentioning

confidence: 99%

3D Facial Plastic Surgery Simulation: Based on the Structured Light

Rao

Sun

et al. 2023

Applied Sciences

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The 3D quantitative analysis of facial morphology is of importance in plastic surgery (PS), which could help surgeons design appropriate procedures before conducting the surgery. We propose a system to simulate and guide the shaping effect analysis, which could produce a similar but more harmonious face simulation. To this end, first, the depth camera based on structured light coding is employed for facial 3D data acquisition, from which the point cloud data of multiple facial perspectives could be obtained. Next, the cascade regression tree algorithm is used to extract the esthetic key points of the face model and to calculate the facial features composed of the key points, such as the nose, chin, and eyes. Quantitative facial esthetic indexes are offered to doctors to simulate PS. Afterward, we exploit a face mesh metamorphosis based on finite elements. We design several morphing operators, including augmentation, cutting, and lacerating. Finally, the regional deformation is detected, and the operation effect is quantitatively evaluated by registering the 3D scanning model before and after the operation. The test of our proposed system and the simulation of PS operations find that the measurement error of facial geometric features is 0.458 mm, and the area is 0.65 mm2. The ratings of the simulation outcomes provided by panels of PS prove that the system is effective. The manipulated 3D faces are deemed more beautiful compared to the original faces respecting the beauty canons such as facial symmetry and the golden ratio. The proposed algorithm could generate realistic visual effects of PS simulation. It could thus assist the preoperative planning of facial PS.

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Section: Extraction and Measurement Of Facial Esthetic Key Pointsmentioning

confidence: 99%

3D Facial Plastic Surgery Simulation: Based on the Structured Light

Rao

Sun

et al. 2023

Applied Sciences

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“…e information of the original point set of the hole boundary is relatively sparse. During the reconstruction, the hole boundary will produce long and narrow triangular patches that are inconsistent with the properties of Delaunay triangle [17,18]. To further refine the triangular patches of the hole boundary area, we 4 Scientific Programming can make full use of the hole boundary area data and the stitching process to provide a better interface and enhance the transition effect [19].…”

Section: Hole Identification and Boundary Pretreatmentmentioning

confidence: 99%

3D Face Geometry Optimization Using Artificial Intelligence and Computer Graphics

Liu

2022

Scientific Programming

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Human face plays an indispensable role in emotional expression and information exchange, which attracts large number of researchers to study face recognition. Nowadays, with the rapid development of computer graphics, artificial intelligence, and other technologies, the ability of the human vision system to recognize facial expressions and facial organs is enhanced. More and more experts think about how to make the computer vision system have this capability. By combining artificial intelligence and computer graphics, this paper studies how to optimize the 3D face network model and extract geometric features for 3D face recognition. We propose a 3D face network model based on Poisson equation to realize face hole recognition and boundary preprocessing. Besides, we also establish the 3D face surface equation and equal face value extraction and enhance the face feature based on facial semantic information. We study the hole repair of 3D face model based on Poisson equation integrating semantic information and achieve the purpose of optimizing the 3D face model. After the optimization, the method is compared with mesh repair and Poisson repair, which demonstrates that our Poisson-based 3D face hole repairing model obtains the best results among compared methods.

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Feature Extraction and Matching of 3D Face Model Based on Facial Landmark Detection

Cited by 2 publications

References 2 publications

3D Facial Plastic Surgery Simulation: Based on the Structured Light

3D Facial Plastic Surgery Simulation: Based on the Structured Light

3D Face Geometry Optimization Using Artificial Intelligence and Computer Graphics

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