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3D Face Recognition by Local Shape Difference Boosting
[chapter]
2008
Lecture Notes in Computer Science
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A new approach, called Collective Shape Difference Classifier (CSDC), is proposed to improve the accuracy and computational efficiency of 3D face recognition. ...
The CSDC learns the most discriminative local areas from the Pure Shape Difference Map (PSDM) and trains them as weak classifiers for assembling a collective strong classifier using the real-boosting approach ...
differences of 3D models are effective and the local area is critical. ...
doi:10.1007/978-3-540-88682-2_46
fatcat:5krz5gv7rfbtzff37davbwuufi
Robust 3D Face Recognition by Local Shape Difference Boosting
2010
IEEE Transactions on Pattern Analysis and Machine Intelligence
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Index Terms-3D shape matching, collective shape difference classifier, face recognition, signed shape difference map. ...
This paper proposes a new 3D face recognition approach, Collective Shape Difference Classifier (CSDC), to meet practical application requirements, i.e., high recognition performance, high computational ...
Besides, we focus on face recognition only by 3D face shapes. For some multimodal methods mentioned, only their 3D face engines are discussed. ...
doi:10.1109/tpami.2009.200
pmid:20724762
fatcat:szopol27mjhx7flwfckov5kziq
Which 3D geometric facial features give up your identity?
2012
2012 5th IAPR International Conference on Biometrics (ICB)
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The 3D face recognition literature has many papers that represent facial shapes as collections of curves of different kinds (level-curves, iso-level curves, radial curves, profiles, geodesic polarization ...
In contrast with the holistic approaches, the approaches that match faces based on whole surfaces, the curve-based parametrization allows local analysis of facial shapes. ...
Acknowledgements This research is supported in part by the ANR under the projects ANR FAR 3D ANR-07-SESU-004 and 3D Face Analyzer ANR 2010 INTB 0301 02. ...
doi:10.1109/icb.2012.6199768
dblp:conf/icb/BallihiSADA12
fatcat:ws3twon6sbcajga6p6jazh2kja
Video parsing based on head tracking and face recognition
2007
Proceedings of the 6th ACM international conference on Image and video retrieval - CIVR '07
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quality are selected and normalized according to face alignment results, and finally different segments are associated by face recognition. ...
The system is based on face vision techniques including face detection and tracking, face alignment and recognition. ...
It integrates the state-of-the-art head tracking, face alignment and face recognition algorithms. ...
doi:10.1145/1282280.1282288
dblp:conf/civr/LiALH07
fatcat:i36tzoradzd4rc2m7ulf46rab4
Boosting 3-D-Geometric Features for Efficient Face Recognition and Gender Classification
2012
IEEE Transactions on Information Forensics and Security
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geometrical facial features that contribute most in 3D face recognition and gender classification. ...
algorithm for face recognition and gender selection. ...
ACKNOWLEDGMENT This research has been supported partialy by the ANR under the projects ANR FAR 3D ANR-07-SESU-004 and the 3D Face Analyzer ANR 2010 INTB 0301 02. ...
doi:10.1109/tifs.2012.2209876
fatcat:y3v5xk7vj5fg7glxs2joo2nb7q
Learning to Fuse 3D+2D Based Face Recognition at Both Feature and Decision Levels
[chapter]
2005
Lecture Notes in Computer Science
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2D intensity images and 3D shape models are both useful for face recognition, but in different ways. ...
In this paper, we propose a systematic framework for fusing 2D and 3D face recognition at both feature and decision levels, by exploring synergies of the two modalities at these levels. ...
Boosted 3D and 2D Face Recognition An AdaBoost classifier is trained for 3D faces and another trained for 2D faces recognition, separately. ...
doi:10.1007/11564386_5
fatcat:wfpklacpxfhk5i56b6jfmlbzgq
Boosting 3D LBP-Based Face Recognition by Fusing Shape and Texture Descriptors on the Mesh
2016
IEEE Transactions on Information Forensics and Security
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In this paper, we present a novel approach for fusing shape and texture local binary patterns (LBPs) on a mesh for 3D face recognition. ...
Index Terms-Mesh-LBP, feature and score fusion, 3D face recognition. ...
ACKNOWLEDGMENT Preliminary ideas and experiments of the face mesh-LBP based face recognition approach appeared in [49] . ...
doi:10.1109/tifs.2016.2515505
fatcat:dc4cgo5jbve73ftm4crtgotxb4
Boosting 3D LBP-based face recognition by fusing shape and texture descriptors on the mesh
2015
2015 IEEE International Conference on Image Processing (ICIP)
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In this paper, we present a novel approach for fusing shape and texture local binary patterns (LBPs) on a mesh for 3D face recognition. ...
Index Terms-Mesh-LBP, feature and score fusion, 3D face recognition. ...
ACKNOWLEDGMENT Preliminary ideas and experiments of the face mesh-LBP based face recognition approach appeared in [49] . ...
doi:10.1109/icip.2015.7351287
dblp:conf/icip/TortoriciWB15
fatcat:b5clena5xbcz7hl4pdjbrk2xnq
Multi-feature fusion in advanced robotics applications
2009
Proceedings of the 6th International Conference on Frontiers of Information Technology - FIT '09
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We study two different models with our proposed approach towards multifeature extraction. These features are efficiently used for human face information extraction for different applications. ...
The approach follows in fitting a model to face image using robust objective function and extracting textural and temporal features for three major applications naming 1) face recognition, 2) facial expressions ...
We start with the model fitting and extract the shape parameters by optimizing local objective function [9] . ...
doi:10.1145/1838002.1838039
dblp:conf/fit/RiazMBRS09
fatcat:b75vreufpzf2hgpnb2syii2yx4
Geometric based 3D facial gender classification
2012
2012 5th International Symposium on Communications, Control and Signal Processing
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We expect that the shape of certain curves are similar within Male/Female classes and different when moving from one class to another. ...
While most of previous work in the literature focuses on either 2D facial images, here, we study the use of 3D facial shape for automatic gender classification. ...
BOOSTING FOR GENDER CLASSIFICATION Radial and iso-level curves capture locally the shape of different facial regions. ...
doi:10.1109/isccsp.2012.6217828
dblp:conf/isccsp/BallihiADSA12
fatcat:5jcd2aqr7nf43mew4h2gicglae
Boosting local descriptors for matching composite and digital face images
2013
2013 IEEE International Conference on Image Processing
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This research designs a patch based face recognition algorithm that generates patches around fiducial features and extracts local information from these patches using Daisy descriptor. ...
Sketch recognition is one of the most challenging applications of face recognition. ...
However, different law enforcement applications have led to other challenging applications of face recognition such as matching digital face images with surveillance camera images, scanned images, and ...
doi:10.1109/icip.2013.6738576
dblp:conf/icip/MittalJSV13
fatcat:cfj6prxhkzhnfb4leu7n2iffea
Boosting Radial Strings for 3D Face Recognition with Expressions and Occlusions
2016
2016 International Conference on Digital Image Computing: Techniques and Applications (DICTA)
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Moreover, the most discriminative and stable radial strings are selected optimally by the well-known AdaBoost algorithm to achieve a composite classifier for 3D face recognition under facial expression ...
In this paper, we present a new radial string representation and matching approach for 3D face recognition under expression variations and partial occlusions. ...
[10] explored an efficient 3D face recognition that encoded a face scan by a set of local-feature descriptors called KMTS, then a TPWCRC framework was proposed to address the problem of 3D partial face ...
doi:10.1109/dicta.2016.7797014
dblp:conf/dicta/YuGZ16
fatcat:wwhupqgrp5cpfmkb4k3qt2rdiu
Learning Effective Intrinsic Features to Boost 3D-Based Face Recognition
[chapter]
2006
Lecture Notes in Computer Science
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In this paper, we propose a novel approach to 3D-based face recognition. First, a novel representation, called intrinsic features, is presented to encode local 3D shapes. ...
3D image data provide several advantages than 2D data for face recognition and overcome many problems with 2D intensity images based methods. ...
This work is supported by research funds from the Natural Science ...
doi:10.1007/11744047_32
fatcat:36w5syvop5arbplbw67mpgp24e
Automatic fetal face detection by locating fetal facial features from 3D ultrasound images for navigating fetoscopic tracheal occlusion surgeries
2013
2013 10th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition (FG)
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In experiments, all key feature points are detected for each case, and thus a detection success rate of 100% is achieved by using 72 3D US images from a test database of 6 fetal faces in the frontal view ...
Each feature is gradually identified from the candidates by a boosting traversal scheme based on the spatial relations between each feature. ...
The different local surface shapes in a 3D facial mesh can be determined by the signs of the mean and Gaussian curvatures as shown in Table I . ...
doi:10.1109/fg.2013.6553722
dblp:conf/fgr/XuOZFS13
fatcat:eipbpnsffzh3vaskd3437dnsfm
Effective face frontalization in unconstrained images
2015
2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
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Recent reports have suggested that this process may substantially boost the performance of face recognition systems. ...
Previous frontalization methods did this by attempting to approximate 3D facial shapes for each query image. ...
Acknowledgments This research is based upon work supported in part by the Office of the Director of National Intelligence (ODNI), Intelligence Advanced Research Projects Activity (IARPA), via IARPA 2014 ...
doi:10.1109/cvpr.2015.7299058
dblp:conf/cvpr/HassnerHPE15
fatcat:mfbgejqnzfbcbodllnmwrywebi
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