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A Study On Region-Based Recognition Of 3D Faces With Expression Variations

Helin Dutagaci, Berk Gokberk, B. Sankur, Lale Akarun
2007 Zenodo  
Publication in the conference proceedings of EUSIPCO, Poznan, Poland, 2007  ...  However expression variation remains as a challenge for 3D face recognition systems.  ...  Another approach to deal with expression variations is to adopt a region-based scheme. Chang et al. [4] use three overlapping face regions around the nose.  ... 
doi:10.5281/zenodo.40357 fatcat:5rdmeeyd2zfjrpilcot3own7xu

Enhancing 3D Face Recognition By Mimics Segmentation

Boulbaba Amor, Mohsen Ardabilian, Liming Chen
2006 Sixth International Conference on Intelligent Systems Design and Applications  
Recognition score is given by a region-based similarity metric which takes into account regions' labels. Here, a specific study in facial expression analysis is done for the labelling purpose.  ...  We aim by means of this study at a best way to split and segment the 3D gallery's faces.  ...  Figure 2 zoom in on some regions in aligned models; here the 3D model is one neutral 3D model from the gallery whereas the 2D 1/2 model is a scan of the same subject with facial expressions.  ... 
doi:10.1109/isda.2006.24 dblp:conf/isda/AmorAC06 fatcat:b624kzqeajekfd6zx5vikon37u

Face Recognition in the Presence of Expressions

Xia Han, Moi Hoon Yap, Ian Palmer
2012 Journal of Software Engineering and Applications  
The results of the study have indicated that our proposed analysis methods of facial expressions, was capable of undertaking face recognition using a minimum set of features improving efficiency and computation  ...  The purpose of this study is to enhance the algorithms towards the development of an efficient three dimensional face recognition system in the presence of expressions.  ...  Many studies of 3D face recognition differentiate in terms of techniques. Lu et al.  ... 
doi:10.4236/jsea.2012.55038 fatcat:q54iem6v4bawrehwgh6mz4sqw4

Multiple Nose Region Matching for 3D Face Recognition under Varying Facial Expression

Kyong I. Chang, K.W. Bowyer, P.J. Flynn
2006 IEEE Transactions on Pattern Analysis and Machine Intelligence  
An algorithm is proposed for 3D face recognition in the presence of varied facial expressions. It is based on combining the match scores from matching multiple overlapping regions around the nose.  ...  Experimental results are presented using the largest database employed to date in 3D face recognition studies, over 4,000 scans of 449 subjects.  ...  An early version of this work was presented at the Workshop on Face Recognition Grand Challenge Experiments [4] .  ... 
doi:10.1109/tpami.2006.210 pmid:16986549 fatcat:yu7ttg2vqze7bobo7ffvzg67zm

3D face recognition by constructing deformation invariant image

Li Li, Chenghua Xu, Wei Tang, Cheng Zhong
2008 Pattern Recognition Letters  
Our experiments are based on the 3D CASIA Face Database, which includes 123 individuals with complex expressions.  ...  Based on the observation that facial surfaces across different expressions can be modeled as similar isometric transformations, in this paper a novel deformation invariant image for robust 3D face recognition  ...  With the rapid development of 3D acquisition equipment, face recognition based on 3D information is attracting more and more attention .  ... 
doi:10.1016/j.patrec.2008.03.018 fatcat:is7amtd37bdgvmmgasmqxhph34

3D Face Recognition Benchmarks on the Bosphorus Database with Focus on Facial Expressions [chapter]

Neşe Alyüz, Berk Gökberk, Hamdi Dibeklioğlu, Arman Savran, Albert Ali Salah, Lale Akarun, Bülent Sankur
2008 Lecture Notes in Computer Science  
This paper presents an evaluation of several 3D face recognizers on the Bosphorus database which was gathered for studies on expression and pose invariant face analysis.  ...  We provide identification results of three 3D face recognition algorithms, namely generic face template based ICP approach, one-to-all ICP approach, and depth image-based Principal Component Analysis (  ...  Shape-based Matchers One-to-All ICP Algorithm: The 3D face recognition problem can be considered as a special case of a 3D object recognition problem.  ... 
doi:10.1007/978-3-540-89991-4_7 fatcat:q7ywuye77bfvvorqtiiq6wdduy

New Experiments on ICP-Based 3D Face Recognition and Authentication

B.B. Amor, M. Ardabilian, L. Chen
2006 18th International Conference on Pattern Recognition (ICPR'06)  
At the on-line phase, identification or verification, only one captured 2.5D face model is performed with the whole set of 3D faces from the gallery or compared to the 3D face model of the genuine, respectively  ...  In this paper, we discuss new experiments on face recognition and authentication based on dimensional surface matching.  ...  The database consists of galley dataset with full 3D faces and test scans with variations on facial expressions, posture and lighting conditions.  ... 
doi:10.1109/icpr.2006.855 dblp:conf/icpr/AmorAC06 fatcat:fpxz3g6dk5azrjntgnkjgtvprq

Resilient face expressional recognitions using geometry and behavioural traits

J.K. Kani Mozhi, R.S.D. Wahida Banu
2010 International Journal of Medical Engineering and Informatics  
The system developed in this paper describes and evaluates a resilient face expressional recognition system using a geometric structural representation of the various expressions like sad, angry, disguise  ...  Tremendous growth in the use of biometric technologies in highsecurity applications has motivated the requirement for highly dependable face recognition systems with expressional robustness.  ...  EXPERIMENTAL EVALUATION The main focus of the paper is to exploit 3D information to cope with expressional variations.  ... 
doi:10.1504/ijmei.2010.029805 fatcat:hkhthx5fszeqpic32oxcgdtya4

Combining 3D and 2D for less constrained periocular recognition

Lulu Chen, James Ferryman
2015 2015 IEEE 7th International Conference on Biometrics Theory, Applications and Systems (BTAS)  
This approach was evaluated using the Bosphorus 3D face database, which contains large variations in facial expressions, head poses and occlusions.  ...  This paper is the first description of combining 3D shape structure with 2D texture.  ...  Iterative Closest Point (ICP) has been favoured for this task in 3D face recognition. One of the main challenges in 3D face recognition is large degrees of facial expression.  ... 
doi:10.1109/btas.2015.7358753 dblp:conf/btas/ChenF15 fatcat:yi6maojdgbfnrjznjzk6gbz6im

3D Security User Identification in Banking

N. Nithya, N. Charumathi
2019 Zenodo  
Many approaches area unit face recognition exists, during this project, specialize in a comparative study of 3D face recognition beneath expression variations.  ...  First 3D face databases with expressions area unit listed, and therefore the most significant ones area unit conferred and their complexness is quantified victimisation principal part analysis, linear  ...  The automatic face recognition with expression variations approach from real time datasets based model. The facial region is first detected with local normalization in the input dataset.  ... 
doi:10.5281/zenodo.2703057 fatcat:4pudvesr2rfchcms6ird57z4gi

3D Face Factorisation for Face Recognition Using Pattern Recognition Algorithms

Hawraa H. Abbas, Bilal Z. Ahmed, Ahmed Kamil Abbas
2019 Cybernetics and Information Technologies  
The region-based 3D face recognition approach provides a 96.4% recognition rate in FRGCv2 dataset.  ...  In this research, the recognition analysis is based on defining a set of coherent parts. Those parts can be considered as latent factors in the face shape space.  ...  We can notice the high performance of 3D face recognition system based on face Factorisation.  ... 
doi:10.2478/cait-2019-0013 fatcat:v45wlzrat5gebcjll6r77vrcky

3D face recognition: a survey

Song Zhou, Sheng Xiao
2018 Human-Centric Computing and Information Sciences  
Moreover, 3D face recognition systems could accurately recognize human faces even under dim lights and with variant facial positions and expressions, in such conditions 2D face recognition systems would  ...  The fast evolution of 3D sensors reveals a new path for face recognition that could overcome the fundamental limitations of 2D technologies.  ...  Availability of data and materials All data generated or analysed during this study are included in this published article [9, 10, [43] [44] [45] [46] [47] [48] [49] [50] [51] [52] .  ... 
doi:10.1186/s13673-018-0157-2 fatcat:xwhabcqu6zgy7bezu5744hgvhq

A survey of approaches and challenges in 3D and multi-modal 3D+2D face recognition

Kevin W. Bowyer, Kyong Chang, Patrick Flynn
2006 Computer Vision and Image Understanding  
This survey focuses on recognition performed by matching models of the three-dimensional shape of the face, either alone or in combination with matching corresponding two-dimensional intensity images.  ...  Research trends to date are summarized, and challenges confronting the development of more accurate three-dimensional face recognition are identified.  ...  Acknowledgments This work is supported by National Science Foundation Grant CNS-0130839, by the Central Intelligence Agency, and by Department of Justice Grant 2004-DD-BX-1224.  ... 
doi:10.1016/j.cviu.2005.05.005 fatcat:v2p7shwhnjdx7jkbqyku5yf2z4

3D Face Recognition Based on MPU Implicits

Yuan HU, Wei LIU
2013 IEICE transactions on information and systems  
In this paper, we present an approach for 3D face recognition based on Multi-level Partition of Unity (MPU) Implicits under pose and expression variations.  ...  The results of the experiment show that our method based on MPU Implicits and Adaptive ICP has great capability for 3D face recognition under pose and expression variations. key words: 3D face recognition  ...  Acknowledgements This work is supported in part by the Doctoral Starting up Foundation of Shanghai Ocean University (B-8605-11-0208) and Foundation for University Young Teacher in Shanghai (ZZhy12032).  ... 
doi:10.1587/transinf.e96.d.2174 fatcat:zmck2hvwgvbghpw7zejlmuqng4

Automatic 3D face recognition from depth and intensity Gabor features

Chenghua Xu, Stan Li, Tieniu Tan, Long Quan
2009 Pattern Recognition  
As is well known, traditional 2D face recognition based on optical (intensity or color) images faces many challenges, such as illumination, expression, and pose variation.  ...  Experiments are performed on the CASIA 3D face database and the FRGC V2.0 database, two data sets with complex variations, including expressions, poses and long time lapses between two scans.  ...  The fully automatic implementation in this work also provides a promising way to build a robust recognition system integrating depth and intensity information.  ... 
doi:10.1016/j.patcog.2009.01.001 fatcat:vfhkqbar3vaa3oo53h7g47ayxy
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