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Automatic Ear Detection and Segmentation over Partially Occluded Profile Face Images

Celia Cintas, Claudio Delrieux, Pablo Navarro, Mirsha Quinto-Sánchez, Bruno Pazos, Rolando Gonzalez-José
2019 Journal of Computer Science and Technology  
We analyze the performance of the proposed ear detection and segmentation method over partially occluded ear images using the CVL Dataset  ...  After training, the CNN is able to detect ears over profile faces, even in the presence of partial occlusions.  ...  We analyze the performance of the proposed ear detection and segmentation method over partially occluded ear images using the CVL Dataset.  ... 
doi:10.24215/16666038.19.e08 fatcat:vwhmms76kfczllis6izrr7cxqm

A survey on ear biometrics

Ayman Abaza, Arun Ross, Christina Hebert, Mary Ann F. Harrison, Mark S. Nixon
2013 ACM Computing Surveys  
candidate for combination with the face in the context of multi-pose face recognition; and third, the ear can be used for human recognition in surveillance videos where the face may be occluded completely  ...  This article provides a detailed survey of research conducted in ear detection and recognition.  ...  Hybrid Techniques Prakash et al. used skin color and template-based technique for automatic ear detection in a side profile face image [Prakash et al. 2009 [Prakash et al. , 2008 .  ... 
doi:10.1145/2431211.2431221 fatcat:rmv2r6vgb5ef3phjhg6oxd57tq

Image-Based 3D Face Modeling System

In Kyu Park, Hui Zhang, Vladimir Vezhnevets
2005 EURASIP Journal on Advances in Signal Processing  
The frontal and profile feature detection modules automatically extract the facial parts such as the eye, nose, mouth, and ear.  ...  This paper describes an automatic system for 3D face modeling using frontal and profile images taken by an ordinary digital camera.  ...  implementation of the face modeling system.  ... 
doi:10.1155/asp.2005.2072 fatcat:b5y4vkzqorfkxciybvfpinrnci

Robust Multi biometric Recognition Using Face and Ear Images [article]

Nazmeen Bibi Boodoo, R. K. Subramanian
2009 arXiv   pre-print
This study investigates the use of ear as a biometric for authentication and shows experimental results obtained on a newly created dataset of 420 images.  ...  Improvement in recognition results is obtained when ear biometric is fused with face biometric. The fusion is done at decision level, achieving a recognition rate of 96 percent.  ...  In the case of the ear being only partially occluded by hair, it is possible to recognize the hair and segment it out of the image. III.  ... 
arXiv:0912.0955v1 fatcat:rqm5qthgcnd6tkb74q2wdrb7m4

Local and Holistic Feature Fusion for Occlusion-Robust 3D Ear Recognition

Qinping Zhu, Zhichun Mu
2018 Symmetry  
Occlusion over ear surfaces results in performance degradation of ear registration and recognition systems.  ...  In this paper, we propose an occlusion-resistant three-dimensional (3D) ear recognition system consisting of four primary components: (1) an ear detection component, (2) a local feature extraction and  ...  As the proposed method can robustly match a non-occluded gallery ear image with a partially occluded probe ear image, it can effectively solve the verification problem of partially occluded ear images.  ... 
doi:10.3390/sym10110565 fatcat:peovalbv7baphjwkfoi7fm2mha

Efficient Detection and Recognition of 3D Ears

Syed M. S. Islam, Rowan Davies, Mohammed Bennamoun, Ajmal S. Mian
2011 International Journal of Computer Vision  
Ear images are detected from 2D profile images using the proposed Cascaded AdaBoost detector.  ...  On a Core 2 Quad 9550, 2.83 GHz machine, it takes around 7.7 ms to detect an ear from a 640 × 480 image.  ...  The authors acknowledge the use of the UND, the NIST, the XM2VTSDB, the UMIST, the USTB and the MIT-CBCL face databases for ear detection and the UND profile and the UCR ear databases for ear recognition  ... 
doi:10.1007/s11263-011-0436-0 fatcat:i27q3jyvxnbf3kbyrpmmnbvrue

Ear biometrics: a survey of detection, feature extraction and recognition methods

A. Pflug, C. Busch
2012 IET Biometrics  
In this survey, we categorize and summarize approaches to ear detection and recognition in 2D and 3D images.  ...  Then, we provide an outlook over possible future research in the field of ear recognition, in the context of smart surveillance and forensic image analysis, which we consider to be the most important application  ...  \_4\_intro\_en.pdf) of 2D ear and face profile images to the research community.  ... 
doi:10.1049/iet-bmt.2011.0003 fatcat:andjg6qltzej7l3objwrdfef7a

Ear Recognition by Feature Extraction Using Force Field Transformation

K. Mohanapriya, Mr.M.Babu, Me
2017 International Journal Of Engineering And Computer Science  
Ear detection and recognition is achieved through the use of Feature Extraction approaches like Force Field Transformation and Chord Point Detection Algorithm is used for better performance than the method  ...  Among several biometric features, ear is quite stable because it does not vary with age and emotion.  ...  EAR RECOGNITION WHEN OCCLUSION Partial features are extracted from the detected un-occluded blocks of the test image.  ... 
doi:10.18535/ijecs/v6i3.61 fatcat:gyvvsuosrvfwpn46h3kp6xo6va

Toward Unconstrained Ear Recognition From Two-Dimensional Images

John D Bustard, Mark S Nixon
2010 IEEE transactions on systems, man and cybernetics. Part A. Systems and humans  
It must also be possible to distinguish ears from background clutter and identify them when partly occluded by hair, hats, or other objects.  ...  In addition, recognition remains accurate with masked ear images as small as 20 × 35 pixels.  ...  Fig. 1 . 1 Gallery-ear image and its associated mask. Fig. 2 . 2 Set of gallery ears that partially match the seed ear.  ... 
doi:10.1109/tsmca.2010.2041652 fatcat:j7db5vfw5bettnmmvchvmlhzaa

Face Recognition Using Ensemble String Matching

Weiping Chen, Yongsheng Gao
2013 IEEE Transactions on Image Processing  
The proposed method not only achieved significantly better performance in recognizing partially occluded faces, but also showed its ability to perform direct matching between sketch faces and photo faces  ...  The embedded partial matching mechanism enables our method to automatically use every piece of non-occluded region, regardless of shape, in the recognition process.  ...  , eyebrows, mouth, and ears.  ... 
doi:10.1109/tip.2013.2277920 pmid:23955761 fatcat:zp6ts3ctcrcv3ke7vcynkcbmra

Towards understanding the symmetry of human ears: A biometric perspective

Ayman Abaza, Arun Ross
2010 2010 Fourth IEEE International Conference on Biometrics: Theory, Applications and Systems (BTAS)  
Such an analysis is essential in order to understand the possibility of matching the left and right ears of an individual, or to reconstruct portions of the ear that may be occluded in a surveillance video  ...  At the same time, the degree of asymmetry it offers may be used in designing effective fusion schemes that combine the face information with the two ears.  ...  For ear detection from profile face images in the WVU Ear Database, we used the morphological segmentation technique proposed by Hajsaid et al. [20] .  ... 
doi:10.1109/btas.2010.5634535 dblp:conf/btas/AbazaR10 fatcat:yiuyc6b2hval5nyd5pcze3i5zi

Ear Recognition: More Than a Survey [article]

Žiga Emeršič, Vitomir Štruc, Peter Peer
2019 arXiv   pre-print
Automatic identity recognition from ear images represents an active field of research within the biometric community.  ...  This paper presents an overview of the field of automatic ear recognition (from 2D images) and focuses specifically on the most recent, descriptor-based methods proposed in this area.  ...  In a fully automatic setting, the system 1 In the opinion of the authors. first detects a profile face in the input image and segments the ear from the detected region.  ... 
arXiv:1611.06203v2 fatcat:jxisgzcmivf4dhpbjku2jrmwfi

On guided model-based analysis for ear biometrics

Banafshe Arbab-Zavar, Mark S. Nixon
2011 Computer Vision and Image Understanding  
In recognition, ears are automatically enroled and then recognized via the parts selected by the model.  ...  Current approaches have exploited 2D and 3D images of the ear in human identification.  ...  Test and training data Our ear images are selected from 2D face-profile images of the XM2VTS database [26] . Fig. 10 shows three face-profile images from XM2VTS.  ... 
doi:10.1016/j.cviu.2010.11.014 fatcat:qxluinvakbah5nkcw44grfnueq

PointNet++ and Three Layers of Features Fusion for Occlusion Three-Dimensional Ear Recognition Based on One Sample per Person

Zhu, Mu
2020 Symmetry  
We use PointNet++ for ear segmentation.  ...  The state-of-the-art (SOA) 3D ear recognition using the OSPP approach bottlenecks when large occluding objects are close to the ear.  ...  Section 3 applies the automatic segmentation of the ear for a given 3D point cloud of the profile face, and Section 4 details the proposed techniques for the extraction and matching of local and LJS features  ... 
doi:10.3390/sym12010078 fatcat:vqafaoobd5gv5ffeoibivfztle

Recognizing Partially Occluded Faces from a Single Sample Per Class Using String-Based Matching [chapter]

Weiping Chen, Yongsheng Gao
2010 Lecture Notes in Computer Science  
Automatically recognizing human faces with partial occlusions is one of the most challenging problems in face analysis community.  ...  This paper presents a novel string-based face recognition approach to address the partial occlusion problem in face recognition.  ...  If a region is occluded, it is automatically detected. Moreover, weighting of the local regions were also proposed in order to provide robustness against expression variations. Recently, Wright et al.  ... 
doi:10.1007/978-3-642-15558-1_36 fatcat:n7mp5xiug5dudg7jalfq4w6htq
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