3D face recognition by shadow moiré

Lay, Yun-Long; Yang, Hui-Jen; Lin, Chern‐Sheng; Chen, Wei-Yu

doi:10.1016/j.optlastec.2011.06.009

Cited by 16 publications

(7 citation statements)

References 8 publications

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“…Shadow is the projection of an opaque object on a certain surface, containing single-view silhouette information of the opaque object. Various methods have been developed to extract three-dimensional (3D) information from shadow, focusing on the recovery of mesh model 6,7 or point clouds. 8 In this article, a novel quadcopter monitoring method based on shadow is proposed.…”

Section: Introductionmentioning

confidence: 99%

Quadcopter localization and health monitoring method based on multiple virtual silhouette sensor integration

Hou

Guo

Zhu

et al. 2017

International Journal of Distributed Sensor Networks

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With the widespread deployment of quadcopters, the flight safety issue attracts increasingly public and academic attentions. This article presents a quadcopter flight regime extraction algorithm for quadcopter localization and health monitoring using imageries captured by general purpose monocular cameras. First, contour information is extracted from quadcopter shadows on the ground. In order to better illustrate the three-dimensional silhouette information contained in shadow contour on the ground, a virtual sensor named Shadow Projection Tunnel is designed. Then, multiple Shadow Projection Tunnels are generated according to the extracted silhouette information and corresponding light source positions. Finally, three-dimensional quadcopter positions and flight regimes are extracted based on the aggregation between multiple Shadow Projection Tunnels. The proposed method is validated to be accurate and efficient in monitoring quadcopter position and flight regimes based on the comparative analyses. In comparison with traditional quadcopter health monitoring methods, the proposed method has advantages on deployment convenience, system robustness, precision expandability, and scenario adaptability, making it an ideal solution for quadcopter monitoring in outdoor scenarios.

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Section: Introductionmentioning

confidence: 99%

Quadcopter localization and health monitoring method based on multiple virtual silhouette sensor integration

Hou

Guo

Zhu

et al. 2017

International Journal of Distributed Sensor Networks

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“…Some examples of applications are industrial inspection of manufactured parts, reverse engineering, 3D map building, biometrics and social security applications like identification and 3D face recognition systems. [1] The developed solutions are traditionally categorized into contact and noncontact techniques.…”

Section: Introductionmentioning

confidence: 99%

3D Face reconstruction using modified shadow moiré

Avilaq

Rezaie

2013

2013 21st Iranian Conference on Electrical Engineering (ICEE)

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Today, three dimensional (3D) reconstruction of human face is gaining more importance, with many applications. Among the various methods, this paper uses shadow moiré method which has superiorities over other methods. In shadow moiré method an iterative three-step phase shifting method is proposed which increases the measurement accuracy by eliminating nonuniform phase shift error. The method is simulated in 3ds-Max environment and through system analysis and experimental results it has been shown that the presented method is a powerful tool for 3D reconstructing of human face with high accuracy.

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“…Some examples of its applications are industrial inspection, reverse engineering, and medical and social security applications like identification and 3-D face recognition systems. 1 The developed techniques that extract the height information from an object's image can be categorized into active and passive techniques.…”

Section: Introductionmentioning

confidence: 99%

Accuracy enhancement of three-dimensional reconstruction using phase-shifting shadow moiré

Avilagh¹,

Rezaie²

2013

J. Electron. Imaging

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An iterative algorithm and a denoising method for accuracy enhancement of three-dimensional (3-D) reconstruction processes by shadow moiré is proposed. Using traditional shadow moiré for 3-D reconstruction leads to a nonuniform phase shift error. The proposed iterative algorithm eliminates this error by using three phase-shifted interferograms and obtains precise phase information. Moreover the proposed denoising method, which is based on undecimated wavelet transform, effectively eliminates noise and grating patterns while retaining useful information. The proposed phase shifting shadow moiré method is compared with the structured lighting method, which is a common method for 3-D reconstruction, and it is further compared with traditional shadow moiré. The methods are simulated in a 3ds-Max environment. The simulation results show that the proposed shadow moiré technique achieves greater accuracy in comparison with the traditional shadow moiré and structured lighting techniques and also it has higher accuracy than existing typical phase-shifting algorithms.

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3D face recognition by shadow moiré

Cited by 16 publications

References 8 publications

Quadcopter localization and health monitoring method based on multiple virtual silhouette sensor integration

Quadcopter localization and health monitoring method based on multiple virtual silhouette sensor integration

3D Face reconstruction using modified shadow moiré

Accuracy enhancement of three-dimensional reconstruction using phase-shifting shadow moiré

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3D face recognition by shadow moiré

Cited by 16 publications

References 8 publications

Quadcopter localization and health monitoring method based on multiple virtual silhouette sensor integration

Quadcopter localization and health monitoring method based on multiple virtual silhouette sensor integration

3D Face reconstruction using modified shadow moir&#x00E9;

Accuracy enhancement of three-dimensional reconstruction using phase-shifting shadow moiré

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3D Face reconstruction using modified shadow moiré