Facial feature extraction for quick 3D face modeling

Goto, Taro; Lee, WonSook; Magnenat‐Thalmann, Nadia

doi:10.1016/s0923-5965(01)00021-2

Cited by 24 publications

(11 citation statements)

References 19 publications

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“…The proposed 3-D shape modelling approach requires a set of facial features specified on frontal and side views to be used as constraining points. A number of automatic algorithms for features location or detection have been proposed recently, such as the face vectorizing algorithm [6]; active shape model (ASM) [13], [36], [52]; Bayesian shape model (BSM) [54]; active contours [25], [29]; morphable models [33], [51]; and 2-D shape clustering [17], which could be incorporated into the proposed framework to automatically provide the facial features on face images. On the other hand, manual facial feature specifications are also widely used in various face modelling and recognition research [15], [24], [37].…”

Section: B Multilevel 3-d Shape Reconstructionmentioning

confidence: 99%

Recognizing Rotated Faces From Frontal and Side Views: An Approach Toward Effective Use of Mugshot Databases

Zhang

Gao

Leung

2008

IEEE Trans.Inform.Forensic Secur.

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Abstract-Mug shot photography has been used to identify criminals by the police for more than a century. However, the common scenario of face recognition using frontal and side-view mug shots as gallery remains largely uninvestigated in computerized face recognition across pose. This paper presents a novel appearance-based approach using frontal and sideface images to handle pose variations in face recognition, which has great potential in forensic and security applications involving police mugshot databases. Virtual views in different poses are generated in two steps: 1) shape modelling and 2) texture synthesis. In the shape modelling step, a multilevel variation minimization approach is applied to generate personalized 3-D face shapes. In the texture synthesis step, face surface properties are analyzed and virtual views in arbitrary viewing conditions are rendered, taking diffuse and specular reflections into account. Appearance-based face recognition is performed with the augmentation of synthesized virtual views covering possible viewing angles to recognize probe views in arbitrary conditions. The encouraging experimental results demonstrated that the proposed approach by using frontal and side-view images is a feasible and effective solution to recognizing rotated faces, which can lead to a better and practical use of existing forensic databases in computerized human face-recognition applications.

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Section: B Multilevel 3-d Shape Reconstructionmentioning

confidence: 99%

Recognizing Rotated Faces From Frontal and Side Views: An Approach Toward Effective Use of Mugshot Databases

Zhang

Gao

Leung

2008

IEEE Trans.Inform.Forensic Secur.

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“…Facial features such as the eyes, eyebrows, lips, nose and mouth can be extracted using image processing techniques [3]. These features can then be mapped to a 3D generic face model to reconstruct a 3D face.…”

Section: Orthogonal Viewsmentioning

confidence: 99%

Comparative Study of 3D Face Acquisition Techniques

Chan

Delmas

Gimel’farb

et al. 2005

Computer Analysis of Images and Patterns

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Today, communication devices are evolving towards friendly-user interactivity while permanently eyeing towards 3D display technologies. As such, 3D face generation, modelling and animation techniques are in the frontline to design realistic animated 3D talking faces. Simple, reliable and economic, 2D image processing techniques have been widely used to reconstruct 3D faces. This paper focuses on the comparison of different 2D imaging techniques for 3D face generation. Stereo Vision techniques, using either automatic stereo correspondence algorithm or manual feature points location, Orthogonal Views and Photometric Stereo approaches are introduced and applied to acquire face 3D data. In addition, generated reconstruction results are compared qualitatively and quantitatively.

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“…These techniques usually involve two steps. The first step is to extract certain features from the facial image [9] and the second step is to modify a generic model or construct a new 3D model [2,[10][11][12]. Such techniques can easily provide reconstructed facial models yet the resulting 3D shapes are not completely accurate and are therefore not suitable for certain important practical applications such as accurate 3D face detection.…”

Section: Introductionmentioning

confidence: 99%

Reconstruction of 3D Human Facial Images Using Partial Differential Equations

Elyan¹,

Ugail²

2007

JCP

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Abstract-One of the challenging problems in geometric modeling and computer graphics is the construction of realistic human facial geometry.Such geometry are essential for a wide range of applications, such as 3D face recognition, virtual reality applications, facial expression simulation and computer based plastic surgery application. This paper addresses a method for the construction of 3D geometry of human faces based on the use of Elliptic Partial Differential Equations (PDE). Here the geometry corresponding to a human face is treated as a set of surface patches, whereby each surface patch is represented using four boundary curves in the 3-space that formulate the appropriate boundary conditions for the chosen PDE. These boundary curves are extracted automatically using 3D data of human faces obtained using a 3D scanner. The solution of the PDE generates a continuous single surface patch describing the geometry of the original scanned data. In this study, through a number of experimental verifications we have shown the efficiency of the PDE based method for 3D facial surface reconstruction using scan data. In addition to this, we also show that our approach provides an efficient way of facial representation using a small set of parameters that could be utilized for efficient facial data storage and verification purposes.

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Facial feature extraction for quick 3D face modeling

Cited by 24 publications

References 19 publications

Recognizing Rotated Faces From Frontal and Side Views: An Approach Toward Effective Use of Mugshot Databases

Recognizing Rotated Faces From Frontal and Side Views: An Approach Toward Effective Use of Mugshot Databases

Comparative Study of 3D Face Acquisition Techniques

Reconstruction of 3D Human Facial Images Using Partial Differential Equations

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