3D human face soft tissues landmarking method: An advanced approach

Authors:
Enrico Vezzetti;Federica Marcolin;Vincenzo Stola
Affiliations:
-;-;-
Venue:
Computers in Industry
Year:
2013

Citing 15
Cited 0

Surface shape and curvature scales

Image and Vision Computing
COSMOS-A Representation Scheme for 3D Free-Form Objects

IEEE Transactions on Pattern Analysis and Machine Intelligence
Multi-Step Procedures for the Localization of 2D and 3D Point Landmarks and Automatic ROI Size Selection

ECCV '98 Proceedings of the 5th European Conference on Computer Vision-Volume I - Volume I
Improving the Detection Performance in Semi-automatic Landmark Extraction

MICCAI '99 Proceedings of the Second International Conference on Medical Image Computing and Computer-Assisted Intervention
Improving the Robustness in Extracting 3D Point Landmarks from 3D Medical Images Using Parametric Deformable Models

MICCAI '01 Proceedings of the 4th International Conference on Medical Image Computing and Computer-Assisted Intervention
Localization of 3D Anatomical Point Landmarks in 3D Tomographic Images Using Deformable Models

MICCAI '00 Proceedings of the Third International Conference on Medical Image Computing and Computer-Assisted Intervention
Analysis and Synthesis of Pose Variations of Human Faces by a Linear PCMAP Model and its Application for Pose-Invariant Face Recognition System

FG '00 Proceedings of the Fourth IEEE International Conference on Automatic Face and Gesture Recognition 2000
Pose-Invariant Face Recognition with Parametric Linear Subspaces

FGR '02 Proceedings of the Fifth IEEE International Conference on Automatic Face and Gesture Recognition
A Landmark Paper in Face Recognition

FGR '06 Proceedings of the 7th International Conference on Automatic Face and Gesture Recognition
Landmark Localisation in 3D Face Data

AVSS '09 Proceedings of the 2009 Sixth IEEE International Conference on Advanced Video and Signal Based Surveillance
3-D face detection, landmark localization, and registration using a point distribution model

IEEE Transactions on Multimedia
Development and validation of a multi-step approach to improved detection of 3D point landmarks in tomographic images

Image and Vision Computing
Point-pair descriptors for 3D facial landmark localisation

BTAS'09 Proceedings of the 3rd IEEE international conference on Biometrics: Theory, applications and systems
Experimental comparison among 3D innovative face recognition frameworks

ICIC'09 Proceedings of the Intelligent computing 5th international conference on Emerging intelligent computing technology and applications
Automatic 3D facial region retrieval from multi-pose facial datasets

EG 3DOR'09 Proceedings of the 2nd Eurographics conference on 3D Object Retrieval

Quantified Score

Hi-index	0.00

Visualization

Abstract

Face study and description through landmarks is a key activity in many fields, in particular the medical one for both corrective and esthetic surgery purposes. In a previous work, we used a geometric approach to automatically extract landmarks working in the Differential Geometry domain, through the coefficients of the Fundamental Forms, the Principal Curvatures, Mean and Gaussian Curvatures, derivatives, and Shape and Curvedness Indexes. In this paper we describe the improvements made to our previously developed algorithm by using a new parameterization of the mesh, new geometrical descriptors, and new conditions.