A Robust Feature Detection Method for an Infrared Single-Shot Structured Light System

Shi, Chu; Feng, Jianyang; Tang, Suming; Song, Zhan

doi:10.1109/rcar.2018.8621672

Cited by 2 publications

(1 citation statement)

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“…Firstly, the 3D coordinates of multi-angle face feature matching points are obtained based on the face feature point detection results, then the initial registration parameters of multiple groups of 3D data are calculated, and then ICP is introduced for local optimal registration. The registered 3D point cloud data is calculated in the 3D normal direction, and then the overlapping point cloud is optimized and fused with the point cloud normal direction camera optical axis as the weight to retain high-quality point cloud data [26]. There are significant brightness and color differences in the texture data taken from multiple angles affected by the shooting angle and ambient light, and the color equalization of the stitching area and the normal weight are used for global texture correction.…”

Section: D Face Reconstructionmentioning

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: D Face Reconstructionmentioning

confidence: 99%