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

Werghi, Naoufel; Rahayem, Mohamed; Kjellander, Johan

doi:10.1186/1687-6180-2012-144

Cited by 26 publications

(7 citation statements)

References 42 publications

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“…The groin region, axillary region, and the side of a human body are some examples. In this way, 3D points of the real data are dependently distributed as explained in [11]. Moreover, the body sways and deep color clothes have detrimental effects which appear as holes and gaps.…”

Section: Fig 1 Methods Overview Of Structural Human Shape Analysismentioning

confidence: 99%

Structural Human Shape Analysis for Modeling and Recognition

Kerdvibulvech

Yamauchi

2014

Lecture Notes in Computer Science

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Structural human shape analysis is not a trivial task. This paper presents a novel method for a structural human shape analysis for modeling and recognition using 3D gait signatures computed from 3D data. The 3D data are obtained from a triangulation-based projector-camera system. To begin with, 3D structural human shape data which are composed of representative poses that occur during the gait cycle of a walking human are acquired. By using interpolation of joint positions, static and dynamic gait features are obtained for modeling and recognition. Ultimately, structural human shape analysis is achieved. Representative results demonstrate that the proposed 3D gait signatures based biometrics provides valid results on real-world 3D data.

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Section: Fig 1 Methods Overview Of Structural Human Shape Analysismentioning

confidence: 99%

Structural Human Shape Analysis for Modeling and Recognition

Kerdvibulvech

Yamauchi

2014

Lecture Notes in Computer Science

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“…To target the above goal, we start by the intuitive idea of defining a local ordered structure on the mesh, which can be regarded as the equivalent on the mesh manifold of the image grid. This idea was concretized first by Werghi et al [35] with the ordered ring facet (ORF). The ORF construction starts with adjacent f out facets to a central facet f c , and linearly derives an ordered ring (see Fig.…”

Section: Related Workmentioning

confidence: 99%

Representing and analyzing relief patterns using LBP variants on mesh manifold

Tortorici

Werghi

2020

Pattern Anal Applic

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Extending the concept of texture to the geometry of a mesh manifold surface is an emerging topic in computer vision. This concept is different from gluing images to the surface, but rather indicates the presence of relief patterns that locally change the surface geometry, showing some regular and repetitive patterns. The representation and the analysis of such relief patterns have several potential applications. In this paper, we propose an original and comprehensive framework to address this novel task, which redefines a large variety of local binary patterns on the mesh manifold domain. We also propose an efficient mesh re-sampling technique that enables uniform surface tessellation. We assess the different descriptive variants derived with this framework in terms of uniformity, repeatability and discriminative power. Afterward, we conduct an extensive experimentation on different datasets showcasing the competitiveness of our framework in classification and retrieval tasks, in terms of both accuracy and computational complexity, with respect to state-of-the-art methods.

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“…MeshLBP is a local shape representation method for directly extracting local binary patterns from 3D mesh. Basically, the algorithm forms a set of ordered ring facets (ORF) [30,31] and calculates the primitive functions such as mean or Gaussian curvature for each facet in the ring. Then, the binary patterns are obtained by thresholding the primitive function of neighboring facets by that of the centre facet.…”

Section: Skull Representation With 3d Local Shape Features 331 Meshmentioning

confidence: 99%

Computer vision methods for cranial sex estimation

Arigbabu

Liao

Abdullah

et al. 2017

IPSJ T Comput Vis Appl

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The objective of this study is to demonstrate through empirical evaluation the potential of a number of computer vision (CV) methods for sex determination from human skull. To achieve this, six local feature representations, two feature learnings, and three classification algorithms are rigorously combined and evaluated on skull regions derived from skull partitions. Furthermore, we introduce for the first time the application of multi-kernel learning (MKL) on multiple features for sex prediction from human skull. In comparison to the classical forensic methods, the results in this study are competitive, attesting to the suitability of CV methods for sex estimation. The proposed approach is fully automatic.

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

Cited by 26 publications

References 42 publications

Structural Human Shape Analysis for Modeling and Recognition

Structural Human Shape Analysis for Modeling and Recognition

Representing and analyzing relief patterns using LBP variants on mesh manifold

Computer vision methods for cranial sex estimation

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