21.2.8.7 Finding Facial Features -- Nasal Features, Nose Detection, and Recognition

Chapter Contents (Back)
Face Recognition. Nose Location. Nose Recognition.

Gorodnichy, D.O.[Dmitry O.], Roth, G.[Gerhard],
Nouse 'use your nose as a mouse' perceptual vision technology for hands-free games and interfaces,
IVC(22), No. 12, 1 October 2004, pp. 931-942.
Elsevier DOI 0409
BibRef
Earlier: Add A2: Malik, S.[Shahzad],
Nouse 'Use Your Nose as a Mouse': A New Technology for Hands-free Games and Interfaces,
VI02(354).
PDF File. 0208
BibRef

Gorodnichy, D.O.,
On importance of nose for face tracking,
AFGR02(181-186).
IEEE DOI 0206
BibRef

Gorodnichy, D.O.[Dmitry O.], Malik, S.[Shahzad], Roth, G.[Gerhard],
Affordable 3D Face Tracking Using Projective Vision,
VI02(383).
PDF File. 0208
BibRef

Mariani, R.[Roberto], Wu, J.K.[Jian-Kang],
Face direction estimation using a single gray-level image,
US_Patent6,707,933, Mar 16, 2004
WWW Link. BibRef 0403
And: US_Patent7,266,225, Sep 4, 2007
WWW Link. From Nose BibRef

Xu, C.H.[Cheng-Hua], Tan, T.N.[Tie-Niu], Wang, Y.H.[Yun-Hong], Quan, L.[Long],
Combining local features for robust nose location in 3D facial data,
PRL(27), No. 13, 1 October 2006, pp. 1487-1494.
Elsevier DOI 0606
BibRef
Earlier: A1, A3, A2, A4:
Robust nose detection in 3d facial data using local characteristics,
ICIP04(III: 1995-1998).
IEEE DOI 0505
Nose tip location; Local surface features; Local statistical features; Included angle curve; SVM BibRef

Chang, K.I.[Kyong I.], Bowyer, K.W.[Kevin W.], Flynn, P.J.[Patrick J.],
Multiple Nose Region Matching for 3D Face Recognition under Varying Facial Expression,
PAMI(28), No. 10, October 2006, pp. 1695-1700.
IEEE DOI 0609
BibRef
Earlier:
Adaptive Rigid Multi-region Selection for Handling Expression Variation in 3D Face Recognition,
FRGC05(III: 157-157).
IEEE DOI 0507
3D model, match regions around the nose. Better than single range match. BibRef

Chen, X.[Xin], Flynn, P.J.[Patrick J.], Bowyer, K.W.[Kevin W.],
Fusion of Infrared and Range Data: Multi-modal Face Images,
ICB06(55-63).
Springer DOI 0601
BibRef

McKeon, R.[Robert], Flynn, P.J.[Patrick J.],
ICP Fusion Techniques for 3D Face Recognition,
3DPVT10(xx-yy).
WWW Link. 1005
BibRef

Tu, J.L.[Ji-Lin], Fu, Y., Huang, T.S.[Thomas S.],
Locating Nose-Tips and Estimating Head Poses in Images by Tensorposes,
CirSysVideo(19), No. 1, January 2009, pp. 90-102.
IEEE DOI 0902
BibRef
Earlier: A1, A3, Only:
Locating Nosetips and Estimating Head Pose in Images by Tensorposes,
ICIP07(IV: 513-516).
IEEE DOI 0709
BibRef

Nichau, M.[Marco], Blanz, V.[Volker],
Pose-insensitive nose detection in TOF-scans,
CVIU(114), No. 12, December 2010, pp. 1346-1352.
Elsevier DOI 1011
Time-of-flight; Nose detection; Pose estimation BibRef

Peng, X.M.[Xiao-Ming], Bennamoun, M.[Mohammed], Mian, A.S.[Ajmal S.],
A training-free nose tip detection method from face range images,
PR(44), No. 3, March 2011, pp. 544-558.
Elsevier DOI 1011
Nose tip detection; Range images; Biometrics BibRef

Li, Y.[Ye], Wang, Y.H.[Ying-Hui], Wang, B.B.[Bing-Bo], Sui, L.S.[Lian-Sheng],
Nose tip detection on three-dimensional faces using pose-invariant differential surface features,
IET-CV(9), No. 1, 2015, pp. 75-84.
DOI Link 1504
face recognition BibRef

Gao, J.N.[Jiang-Ning], Evans, A.N.[Adrian N.],
Expression robust 3D face landmarking using thresholded surface normals,
PR(78), 2018, pp. 120-132.
Elsevier DOI 1804
BibRef
Earlier:
Using 3D Representations of the Nasal Region for Improved Landmarking and Expression Robust Recognition,
BMVW15(xx-yy).
DOI Link 1601
BibRef
And:
Expression robust 3D face recognition by matching multi-component local shape descriptors on the nasal and adjoining cheek regions,
FG15(1-8)
IEEE DOI 1508
3D face landmarking, Surface normals. biometrics (access control) BibRef

Emambakhsh, M.[Mehryar], Evans, A.N.[Adrian N.],
Nasal Patches and Curves for Expression-Robust 3D Face Recognition,
PAMI(39), No. 5, May 2017, pp. 995-1007.
IEEE DOI 1704
Algorithm design and analysis BibRef

Lv, C.L.[Chen-Lei], Wu, Z.K.[Zhong-Ke], Wang, X.[Xingce], Zhou, M.Q.[Ming-Quan], Toh, K.A.[Kar-Ann],
Nasal similarity measure of 3D faces based on curve shape space,
PR(88), 2019, pp. 458-469.
Elsevier DOI 1901
Shape space, Nose similarity measure, Riemannian manifold BibRef

Lv, C.[Chenlei], Wu, Z.[Zhongke], Zhang, D.[Dan], Wang, X.[Xingce], Zhou, M.Q.[Ming-Quan],
3D Nose shape net for human gender and ethnicity classification,
PRL(126), 2019, pp. 51-57.
Elsevier DOI 1909
BibRef


Zhou, T., Ding, C., Lin, S., Wang, X., Tao, D.,
Learning Oracle Attention for High-Fidelity Face Completion,
CVPR20(7677-7686)
IEEE DOI 2008
Face, Correlation, Image restoration, Task analysis, Training, Image color analysis, Nose BibRef

Rathgeb, C., Dogan, D., Stockhardt, F., de Marsico, M., Busch, C.,
Plastic Surgery: An Obstacle for Deep Face Recognition?,
Biometrics20(3510-3517)
IEEE DOI 2008
Surgery, Databases, Face recognition, Face, Nose, Eyebrows, Eyelids BibRef

Wu, W., Qian, C., Yang, S., Wang, Q., Cai, Y., Zhou, Q.,
Look at Boundary: A Boundary-Aware Face Alignment Algorithm,
CVPR18(2129-2138)
IEEE DOI 1812
Heating systems, Face, Nose, Message passing, Transforms, Eyelids, Bridges BibRef

Vieira Frade, B., Nascimento, E.R.,
A Two-Step Learning Method for Detecting Landmarks on Faces from Different Domains,
ICIP18(2655-2659)
IEEE DOI 1809
Image reconstruction, Dogs, Cats, Task analysis, Horses, Nose, Landmarks detection, Machine Learning, Domain Adaptation, Animal faces BibRef

Lv, J.J.[Jiang-Jing], Shao, X.H.[Xiao-Hu], Xing, J.L.[Jun-Liang], Liu, P.C.[Peng-Cheng], Zhou, X.D.[Xiang-Dong], Zhou, X.[Xi],
Hierarchical bilinear network for high performance face detection,
ICIP17(415-419)
IEEE DOI 1803
Computational modeling, Computer architecture, Databases, Face, Face detection, Feature extraction, Training, Face detection, hierarchical BibRef

Shao, X.H.[Xiao-Hu], Xing, J.L.[Jun-Liang], Lv, J.J.[Jiang-Jing], Xiao, C.L.[Chun-Lin], Liu, P.C.[Peng-Cheng], Feng, Y.J.[You-Ji], Cheng, C.[Cheng],
Unconstrained Face Alignment Without Face Detection,
FaceWild17(2069-2077)
IEEE DOI 1709
Benchmark testing, Computer architecture, Face, Face detection, Heating systems, Nose, Shape BibRef

Bradley, C., Boult, T.E., Ventura, J.,
Cross-Modal Facial Attribute Recognition with Geometric Features,
FG17(891-896)
IEEE DOI 1707
Color, Error analysis, Face, Face recognition, Image color analysis, Nose, Support vector machines BibRef

Derkach, D., Ruiz, A., Sukno, F.M.,
Head Pose Estimation Based on 3-D Facial Landmarks Localization and Regression,
FG17(820-827)
IEEE DOI 1707
Face, Feature extraction, Nose, Pose estimation, Three-dimensional, displays BibRef

Liu, J.[Jian], Zhang, Q.[Quan], Zhang, C.[Chen], Tang, C.J.[Chao-Jing],
Robust nose tip detection for face range images based on local features in scale-space,
IC3D15(1-8)
IEEE DOI 1603
face recognition BibRef

Zehngut, N.[Niv], Juefei-Xu, F.[Felix], Bardia, R.[Rishabh], Pal, D.K.[Dipan K.], Bhagavatula, C.[Chandrasekhar], Savvides, M.,
Investigating the feasibility of image-based nose biometrics,
ICIP15(522-526)
IEEE DOI 1512
Nose Biometrics BibRef

de Bittencourt Zavan, F.H.[Flávio H.], Nascimento, A.C.P.[Antônio C.P.], e Silva, L.P.[Luan P.], Bellon, O.R.P.[Olga R.P.], Silva, L.[Luciano],
3D Face Alignment in the Wild: A Landmark-Free, Nose-Based Approach,
3DFAW16(II: 581-589).
Springer DOI 1611
BibRef

Pawelczyk, K.[Krzysztof], Kawulok, M.[Michal],
Head Pose Estimation Relying on Appearance-Based Nose Region Analysis,
ICCVG14(510-517).
Springer DOI 1410
BibRef

Feng, R.R.[Ran-Ran], Prabhakaran, B.[Balakrishnan],
A novel method for post-surgery face recognition using sum of facial parts recognition,
WACV14(1082-1089)
IEEE DOI 1406
Accuracy; Face; Face recognition; Feature extraction; Nose; Skin; Surgery BibRef

Ballihi, L.[Lahoucine], Ben Amor, B.[Boulbaba], Daoudi, M.[Mohamed], Srivastava, A.[Anuj], Aboutajdine, D.,
Selecting 3d Curves On The Nasal Surface Using Adaboost for Person Authentication,
3DOR11(101-104)
PDF File.
DOI Link 1301
BibRef

Hassaballah, M.[Mahmoud], Kanazawa, T.[Tomonori], Ido, S.[Shinobu], Ido, S.[Shun],
A Robust Method for Nose Detection under Various Conditions,
ICCVG10(I: 392-400).
Springer DOI 1009
BibRef

Drira, H.[Hassen], Ben Amor, B.[Boulbaba], Srivastava, A.[Anuj], Daoudi, M.[Mohamed],
A Riemannian analysis of 3D nose shapes for partial human biometrics,
ICCV09(2050-2057).
IEEE DOI 0909

See also Pose and Expression-invariant 3d Face Recognition using Elastic Radial Curves. BibRef

Drira, H.[Hassen], Ben Amor, B.[Boulbaba], Daoudi, M.[Mohamed], Srivastava, A.[Anuj],
Nasal Region Contribution in 3D Face Biometrics Using Shape Analysis Framework,
ICB09(357-366).
Springer DOI 0906
BibRef

Dibeklioglu, H.[Hamdi], Gökberk, B.[Berk], Akarun, L.[Lale],
Nasal Region-Based 3D Face Recognition under Pose and Expression Variations,
ICB09(309-318).
Springer DOI 0906
BibRef

Lee, Y.H.[Yeung-Hak], Kim, I.[Ikdong], Shim, J.C.[Jae-Chang], Marshall, D.[David],
3D Facial Image Recognition Using a Nose Volume and Curvature Based Eigenface,
GMP06(616-622).
Springer DOI 0607
BibRef

Lee, Y.H.[Yeung-Hak], Shim, J.C.[Jae-Chang],
Curvature based human face recognition using depth weighted hausdorff distance,
ICIP04(III: 1429-1432).
IEEE DOI 0505
BibRef

Chapter on Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics continues in
Finding Facial Features -- Ear Detection and Recognition .


Last update:Nov 30, 2021 at 22:19:38