The spiral facets: A unified framework for the analysis and description of 3D facial mesh surface

Werghi, Naoufel; Boukadida, Haykel; Meguebli, Youssef

doi:10.1007/3dres.03(2010)05

Cited by 3 publications

(4 citation statements)

References 16 publications

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“…The article is a substantial extension and a continuation of the work published in [43] in which the focus was rather on facial landmark detection. The new contributions of this article are: (1) Extension of the ordered structured patterns to new types of structures that include a variety of ordered arcs of rings.…”

Section: Contributions and Structurementioning

confidence: 97%

“…Here, we propose a method for extracting the frontal face area from the raw 3D facial data. This method requires the detection of the nose tip (using for example the method in [43]). In our approach, we exploit the ORF rings to develop an intrinsically scale-invariant method for frontal face extraction.…”

Section: Frontal Face Extractionmentioning

confidence: 99%

“…We point out that these two methods compute the rotation component of the rigid transformation. The translation is determined by detecting first the nose tip in each of the two facial surfaces using techniques such as [43,51].…”

Section: Face Alignmentmentioning

confidence: 99%

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An ordered topological representation of 3D triangular mesh facial surface: concept and applications

Werghi

Rahayem

Kjellander

2012

EURASIP J. Adv. Signal Process.

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In this article, we present an original unified framework for analyzing, describing, and encoding 3D facial surfaces. This framework allows the derivation of topologically ordered structures from triangular mesh surfaces, addressing thus the lack of ordered structure in such a modality. After describing the foundations of the framework and highlighting its advantages with respect to close representations, we show its adaptability to a variety of facial mesh surface processing tasks which includes mesh regularity assessment, facial surface cropping, facial surface compression, and facial surface alignment. In addition, it can be used for the extraction of a rich variety of local and global face descriptors. We validate this framework by testing it with raw 3D facial mesh surfaces.

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Section: Contributions and Structurementioning

confidence: 97%

Section: Frontal Face Extractionmentioning

confidence: 99%

See 1 more Smart Citation

An ordered topological representation of 3D triangular mesh facial surface: concept and applications

Werghi

Rahayem

Kjellander

2012

EURASIP J. Adv. Signal Process.

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“…For instance, it is well known that even holistic matching methods, such as Eigenfaces [8] and Fisherfaces [9], need accurate locations of key facial features for face pose normalisation; where noticeable degradation in recognition performance is observed without accurate facial feature locations. Furthermore, it is generally believed that, an improved landmark localisation will increase the effectiveness of many face processing applications [11][12][13][14][15].…”

Section: Introductionmentioning

confidence: 99%

Point-Triplet Descriptors for 3D Facial Landmark Localisation

Romero

Pears

Vilchis

et al. 2011

2011 IEEE Electronics, Robotics and Automotive Mechanics Conference

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Point-pair descriptors for 3D facial landmark localisation

Romero

Pears

2009

2009 IEEE 3rd International Conference on Biometrics: Theory, Applications, and Systems

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Abstract-Our pose-invariant point-pair descriptors, which encode 3D shape between a pair of 3D points are described and evaluated. Two variants of descriptor are introduced, the first is the point-pair spin image, which is related to the classical spin image of Johnson and Hebert, and the second is derived from an implicit radial basis function (RBF) model of the facial surface. We call this a cylindrically sampled RBF (CSR) shape histogram. These descriptors can effectively encode edges in graph based representations of 3D shapes. Thus, they are useful in a wide range of 3D graph-based retrieval applications. Here we show how the descriptors are able to identify the nose-tip and the eye-corner of a human face simultaneously in six promising landmark localisation systems. We evaluate our approaches by computing root mean square errors of estimated landmark locations against our ground truth landmark localisations within the 3D Face Recognition Grand Challenge database.

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The spiral facets: A unified framework for the analysis and description of 3D facial mesh surface

Cited by 3 publications

References 16 publications

An ordered topological representation of 3D triangular mesh facial surface: concept and applications

An ordered topological representation of 3D triangular mesh facial surface: concept and applications

Point-Triplet Descriptors for 3D Facial Landmark Localisation

Point-pair descriptors for 3D facial landmark localisation

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