bestman-region是什么意思

二、
(国外)英文参考资料
1
、
网上文献
2
、国际会议
文章(英文)
[C1]Afzal
S,
Sezgin
T.M,
Yujian
Gao,
Robinson
P.
Perception
of
emotional
expressions
in
different
representations
using
facial
feature
points.
In:
Affective
Computing
and
Intelligent
Interaction
and
Workshops,
Amsterdam,Holland,
2009
Page(s): 1 - 6
[C2]Yuwen
Wu,
Hong
Liu,
Hongbin
Zha.
Modeling
facial
expression
space
for
recognition
In:Intelligent Robots and Systems,Edmonton,Canada,2005
: 1968
–
1973
[C3]
Y
u-Li
Xue,
Xia
Mao,
Fan
Zhang.
Beihang
University
Facial
Expression
Database
and
Multiple
Facial
Expression
Recognition.
In:
Machine
Learning
and
Cybernetics, Dalian,China,2006: 3282
–
3287
[C4]
Zhiguo
Niu,
Xuehong
Qiu.
Facial
expression
recognition
based
on
weighted
principal component analysis and support vector machines. In: Advanced Computer
Theory and Engineering (ICACTE), Chendu,China,2010: V3-174 - V3-178
[C5] Colmenarez A,
Frey B, Huang T.S. A probabilistic framework for embedded
face and facial expression recognition. In: Computer Vision and Pattern Recognition,
Ft. Collins, CO, USA, 1999:
[C6] Yeongjae Cheon,
Daijin Kim. A Natural Facial Expression Recognition Using
Differential-AAM
and
k-NNS.
In:
Multimedia
(
ISM
2008
)
,Berkeley,
California,
USA,2008: 220 - 227
[C7]
Jun Ou, Xiao-Bo Bai, Yun Pei,Liang Ma, Wei Liu. Automatic Facial Expression
Recognition Using Gabor Filter and Expression Analysis. In: Computer Modeling and
Simulation, Sanya, China, 2010: 215 - 218
[C8]Dae-Jin
Kim,
Zeungnam
Bien,
Kwang-Hyun
Park.
Fuzzy
neural
networks
(FNN)-based
approach
for
personalized
facial
expression
recognition
with
novel
feature selection method. In: Fuzzy Systems, ,Missouri,USA,2003: 908 - 913
[C9]
Wei- feng
Liu,
Shu-juan
Li,
Yan-jiang
Wang.
Automatic
Facial
Expression
Recognition
Based
on
Local
Binary
Patterns
of
Local
Areas.
In:
Information
Engineering, Taiyuan, Shanxi, China ,2009: 197 - 200
[C10] Hao Tang, Hasegawa- Johnson M, Huang T. Non-frontal view facial expression
recognition based on ergodic hidden Markov model : Multimedia and
Expo (ICME), Singapore ,2010: 1202 - 1207
[C11] Yu-Jie Li, Sun-Kyung Kang,Young-Un Kim, Sung-Tae Jung.
Development of
a
facial
expression
recognition
system
for
the
laughter
therapy.
In:
Cybernetics
and
Intelligent Systems (CIS), Singapore ,2010: 168 - 171
[C12] Wei Feng Liu, ZengFu Wang. Facial Expression Recognition Based on Fusion
of Multiple Gabor Features. In: Pattern Recognition, HongKong, China, 2006: 536 -
539
[C13]
Chen
Feng-jun,
Wang
Zhi-liang,
Xu
Zheng-guang,
Xiao
Jiang.
Facial
Expression
Recognition
Based
on
Wavelet
Energy
Distribution
Feature
and
Neural
Network Ensemble. In: Intelligent Systems, XiaMen, China, 2009: 122 - 126
[C14]
P.
Kakumanu,
N.
Bourbakis.
A
Local-Global
Graph
Approach
for
Facial
Expression
Recognition.
In:
Tools
with
Artificial
Intelligence,
Arlington,
Virginia,
USA,2006: 685 - 692
[C15]
Mingwei
Huang,
Zhen
Wang,
Zilu
Ying.
Facial
expression
recognition
using
Stochastic
Neighbor
Embedding
and
SVMs.
In:
System
Science
and
Engineering
(ICSSE), Macao, China, 2011:
671 - 674
[C16] Junhua Li, Li Peng.
Feature difference matrix and QNNs for facial expression
recognition. In: Control and Decision Conference, Yantai, China, 2008: 3445 - 3449
[C17] Yuxiao Hu, Zhihong Zeng, Lijun Yin,Xiaozhou Wei, Jilin Tu, Huang, T.S.
A
study
of
non-frontal-view
facial
expressions
recognition.
In:
Pattern
Recognition,
Tampa, FL, USA,2008: 1 - 4
[C18]
Balasubramani
A,
Kalaivanan
K,
Karpagalakshmi
R.C,
Monikandan
R.
Automatic facial expression recognition system. In: Computing, Communication and
Networking, St. Thomas,USA, 2008: 1 - 5
[C19] Hui Zhao, Zhiliang Wang, Jihui Men. Facial Complex Expression Recognition
Based
on
Fuzzy
Kernel
Clustering
and
Support
Vector
Machines.
In:
Natural
Computation, Haikou,Hainan,China,2007: 562 - 566
[C20]
Khanam
A,
Shafiq
M.Z,
Akram
M.U.
Fuzzy
Based
Facial
Expression
Recognition. In: Image and Signal Processing, Sanya, Hainan, China,2008: 598 - 602
[C21]
Sako
H,
Smith
A.V
.W.
Real-time
facial
expression
recognition
based
on
features'
positions
and
dimensions.
In:
Pattern
Recognition,
Vienna,Austria,
1996:
643 - 648 vol.3
[C22]
Huang
M.W,
Wang
Z.W,
Ying
Z.L.
A
novel
method
of
facial
expression
recognition
based
on
GPLVM
Plus
SVM.
In:
Signal
Processing
(ICSP),
Beijing,
China, 2010: 916 - 919
[C23]
Xianxing
Wu;
Jieyu
Zhao;
Curvelet
feature
extraction
for
face
recognition
and facial expression recognition. In: Natural Computation (ICNC),
Yantai, China,
2010: 1212 - 1216
[C24]
Xu Q Z, Zhang P Z, Yang L X, et al.A facial expression recognition approach
based on novel support vector machine tree.
In Proceedings of the 4th
International
Symposium on Neural Networks, Nanjing, China, 2007: 374-381.
[C25] Wang Y B, Ai H Z, Wu B, et al. Real time facial expression recognition with
: Proceedings of the 17th International Conference on Pattern Recognition ,
Cambridge,UK, 2004: 926-929.
[C26]
Guo
G
,
Dyer
C
R.
Simultaneous
feature
selection
and
classifier
training
via
linear programming: a case study for face expression recognition. In: Proceedings of
the
2003
IEEE
Computer
Society
Conference
on
Computer
Vision
and
Pattern
Recognition, Madison, W isconsin, USA, 2003,1: 346-352.
[C27]
Bourel
F,
Chibelushi
C
C,
Low
A
A.
Robust
facial
expression
recognition
using
a
state-based
model
of
spatially-localised
facial
dynamics.
In:
Proceedings
of
the 5th IEEE International Conference on Automatic Face and Gesture Recognition,
Washington, DC, USA, 2002: 113-118·
[C28] Buciu I, Kotsia I, Pitas I. Facial expression analysis under partial occlusion. In:
Proceedings
of
the
2005
IEEE
International
Conference
on
Acoustics,
Speech,
and
Signal Processing, Philadelphia, PA, USA, 2005,V: 453-456.
[C29]
ZHAN
Yong- zhao
,
YE
Jing-fu
,
NIU
De- jiao
,
et
al
.
Facial
expression
recognition
based
on
Gabor
wavelet
transformation
and
elastic
templates
matching.
Proc of the 3rd
International
Conference on
Image and
Graphics
.
Washington
DC,
USA
,
2004:254-257
.
[C30]
PRASEEDA L V
,
KUMAR S
,
VIDYADHARAN D S
,
et al
.
Analysis of facial
expressions using PCA on half and full faces. Proc of ICALIP2008
.
2008:1379-1383
.
[C31]
LEE J J
,
UDDIN M Z
,
KIM T S
.
Spatiotemporal human facial expression
recognition using Fisher independent component analysis and Hidden Markov model
[
C
]
//Proc
of
the
30th
Annual
International
Conference
of
IEEE
Engineering
in
Medicine and Biology Society
.
2008:2546-2549
.
[C32]
LITTLEWORT
G
,BARTLETT
M,FASELL.
Dynamics
of
facial
expression
extracted
automatically
from
video.
In:
Proceedings
of
IEEE
Conference
on
Computer
Vision
and
Pattern
Recognition,
Workshop
on
Face
Processing
inVideo,
Washington DC,USA,2006:80-81
.
[C33] Kotsia I, Nikolaidis N, Pitas I. Facial Expression Recognition in Videos using a
Novel Multi-Class Support Vector Machines Variant. In: Acoustics, Speech and Signal
Processing, Honolulu, Hawaii, USA, 2007: II-585 - II-588
[C34] Ruo Du, Qiang Wu, Xiangjian He, Wenjing Jia, Daming Wei. Facial expression
recognition
using
histogram
variances
faces.
In:
Applications
of
Computer
Vision
(WACV), Snowbird, Utah, USA, 2009: 1 - 7
[C35]
Kobayashi
H,
Tange
K,
Hara
F.
Real-time
recognition
of
six
basic
facial
expressions. In: Robot and Human Communication, Tokyo , Japan,1995: 179 - 186
[C36] Hao Tang, Huang T.S. 3D facial expression recognition based on properties of
line
segments
connecting
facial
feature
points.
In:
Automatic
Face
&
Gesture
Recognition, Amsterdam, The Netherlands, 2008: 1 - 6
[C37] Fengjun Chen, Zhiliang Wang, Zhengguang Xu, Donglin Wang. Research on a
method
of
facial
expression
:
Electronic
Measurement
&
Instruments,
Beijing,China, 2009: 1-225 - 1-229
[C38] Hui Zhao, Tingting Xue, Linfeng Han. Facial complex expression recognition
based
on
Latent
DirichletAllocation.
In:
Natural
Computation
(ICNC),
Yantai,
Shandong, China, 2010: 1958 - 1960
[C39]
Qinzhen
Xu,
Pinzheng
Zhang,
Wenjiang
Pei,
Luxi
Yang,
Zhenya
He.
An
Automatic
Facial
Expression
Recognition
Approach
Based
on
Confusion- Crossed
Support Vector Machine Tree. In: Acoustics, Speech and Signal Processing, Honolulu,
Hawaii, USA, 2007: I-625 - I-628
[C40] Sung Uk Jung, Do Hyoung Kim, Kwang Ho An, Myung Jin Chung. Efficient
rectangle
feature
extraction
for
real-time
facial
expression
recognition
based
on
:
Intelligent
Robots
and
Systems,
Edmonton,Canada,
2005:
1941
-
1946
[C41] Patil K.K, Giripunje S.D, Bajaj P.R.
Facial Expression Recognition and Head
Tracking
in
Video
Using
Gabor
Filter
.In:
Emerging
Trends
in
Engineering
and
Technology (ICETET),
Goa, India, 2010: 152 - 157
[C42] Jun Wang, Lijun Yin, Xiaozhou Wei, Yi Sun. 3D Facial Expression Recognition
Based
on
Primitive
Surface
Feature
:
Computer
Vision
and
Pattern
Recognition, New York, USA,2006: 1399 - 1406
[C43]
Shi
Dongcheng,
Jiang
Jieqing.
The
method
of
facial
expression
recognition
based
on
DWT-PCA/:
Image
and
Signal
Processing
(CISP),
Yantai,China,
2010: 1970 - 1974
[C44] Asthana A, Saragih J, Wagner M, Goecke R.
Evaluating AAM fitting methods
for facial expression recognition. In: Affective Computing and Intelligent Interaction
and Workshops, Amsterdam,Holland, 2009:1-8
[C45]
Geng
Xue,
Zhang
Youwei.
Facial
Expression
Recognition
Based
on
the
Difference of Statistical : Signal Processing, Guilin, China, 2006
[C46] Metaxas D.
Facial Features Tracking for Gross Head Movement analysis and
Expression : Multimedia Signal
Processing,
Chania,Crete,GREECE,
2007:2
[C47]
Xia
Mao,
YuLi
Xue,
Zheng
Li,
Kang
Huang,
ShanWei
Lv.
Robust
facial
expression
recognition
based
on
RPCA
and
:
Image
Analysis
for
Multimedia Interactive Services, London, UK, 2009: 113 - 116
[C48]
Kun
Lu,
Xin
Zhang.
Facial
Expression
Recognition
from
Image
Sequences
Based
on
Feature
Points
and
Canonical
:
Artificial
Intelligence
and
Computational Intelligence (AICI),
Sanya,China, 2010: 219 - 223
[C49] Peng Zhao-yi, Wen Zhi-qiang, Zhou Yu. Application of Mean Shift Algorithm
in Real-Time Facial Expression : Computer Network and Multimedia
Technology, Wuhan,China, 2009: 1 - 4
[C50]
Xu
Chao,
Feng
Zhiyong,
Facial
Expression
Recognition
and
Synthesis
on
Affective
Emotions
:
Future
BioMedical
Information
Engineering,
Wuhan,China, 2008: 144 - 147
[C51]
Zi-lu
Ying,
Lin-bo
Cai.
Facial
Expression
Recognition
with
Marginal
Fisher
Analysis on Local Binary : Information Science and Engineering (ICISE),
Nanjing,China, 2009: 1250 - 1253
[C52] Chuang Yu, Yuning Hua, Kun Zhao. The Method of Human Facial Expression
Recognition
Based
on
Wavelet
Transformation
Reducing
the
Dimension
and
Improved
Fisher
:
Intelligent
Networks
and
Intelligent
Systems
(ICINIS), Shenyang,China, 2010: 43 - 47
[C53]
Stratou
G,
Ghosh
A,
Debevec
P,
Morency
L.-P.
Effect
of
illumination
on
automatic
expression
recognition:
A
novel
3D
relightable
facial
database
.In:
Automatic
Face
&
Gesture
Recognition
and
Workshops
(FG
2011),
Santa
Barbara,
California,USA, 2011: 611 - 618
[C54]
Jung-Wei
Hong,
Kai-Tai
Song.
Facial
expression
recognition
under
illumination
:
Advanced
Robotics
and
Its
Social
Impacts,
Hsinchu,
Taiwan,2007: 1 - 6
[C55]
Ryan
A,
Cohn
J.F,
Lucey
S,
Saragih
J,
Lucey
P,
De
la
Torre
F,
Rossi
A.
Automated
Facial
Expression
Recognition
:
Security
Technology,
Zurich,
Switzerland, 2009: 172 - 177
[C56] Gokturk S.B, Bouguet J.-Y
, Tomasi C, Girod B. Model-based face tracking for
view-independent
facial
expression
:
Automatic
Face
and
Gesture
Recognition,
Washington, D.C., USA, 2002: 287 - 293
[C57] Guo S.M, Pan Y
.A, Liao Y
.C, Hsu C.Y
, Tsai J.S.H, Chang C.I. A Key Frame
Selection-Based
Facial
Expression
Recognition
:
Innovative
Computing,
Information and Control,
Beijing,China, 2006: 341 - 344
[C58] Ying Zilu, Li Jingwen, Zhang Youwei. Facial expression recognition based on
two
dimensional
feature
:
Signal
Processing,
Leipzig,
Germany,
2008:
1440 - 1444
[C59] Fengjun Chen, Zhiliang Wang,
Zhengguang Xu, Jiang Xiao, Guojiang Wang.
Facial
Expression
Recognition
Using
Wavelet
Transform
and
Neural
Network
:
Intelligent
Information
Technology
Application,
Shanghai,China,2008:
871 - 875
[C60]
Chuan-Yu
Chang,
Yan- Chiang
Huang,
Chi-Lu
Yang.
Personalized
Facial
Expression
Recognition
in
Color
:
Innovative
Computing,
Information
and
Control (ICICIC),
Kaohsiung,Taiwan, 2009: 1164 - 1167
[C61] Bourel F, Chibelushi C.C, Low A.A. Robust facial expression recognition using
a
state-based
model
of
spatially-localised
facial
dynamics.
In:
Automatic
Face
and
Gesture Recognition,
Washington, D.C., USA, 2002: 106 - 111
[C62]
Chen
Juanjuan,
Zhao
Zheng,
Sun
Han,
Zhang
Gang.
Facial
expression
recognition
based
on
PCA
:
Computer
Science
and
Education
(ICCSE), Hefei,China, 2010: 195 - 198
[C63]
Guotai
Jiang,
Xuemin
Song,
Fuhui
Zheng,
Peipei
Wang,
Omer
A.M.
Facial
Expression
Recognition
Using
Thermal
:
Engineering
in
Medicine
and
Biology Society, Shanghai,China, 2005: 631 - 633
[C64]
Zhan
Yong-zhao,
Ye
Jing-fu,
Niu
De- jiao,
Cao
Peng.
Facial
expression
recognition based on Gabor wavelet transformation and elastic templates :
Image and Graphics,
Hongkong,China, 2004: 254 - 257
[C65]
Ying
Zilu,
Zhang
Guoyi.
Facial
Expression
Recognition
Based
on
NMF
and
SVM. In: Information Technology and Applications, Chengdu,China, 2009: 612 - 615
[C66]
Xinghua
Sun,
Hongxia
Xu,
Chunxia
Zhao,
Jingyu
Yang.
Facial
expression
recognition
based
on
histogram
sequence
of
local
Gabor
binary
patterns.
In:
Cybernetics and Intelligent Systems, Chengdu,China, 2008: 158 - 163
[C67]
Zisheng
Li,
Jun-ichi
Imai,
Kaneko
M.
Facial-component-based
bag
of
words
and
PHOG
descriptor
for
facial
expression
:
Systems,
Man
and
Cybernetics, San Antonio,TX,USA,2009: 1353 - 1358
[C68]
Chuan-Yu
Chang,
Yan- Chiang
Huang.
Personalized
facial
expression
recognition in indoor : Neural Networks (IJCNN),
Barcelona, Spain,
2010: 1 - 8
[C69]
Ying Zilu,
Fang Xieyan. Combining
LBP and Adaboost for facial expression
: Signal Processing,
Leipzig, Germany, 2008: 1461 - 1464
[C70] Peng Yang, Qingshan Liu, Metaxas, D.N. RankBoost with l1 regularization for
facial
expression
recognition
and
intensity
:
Computer
Vision,
Kyoto,Japan, 2009: 1018 - 1025
[C71] Patil R.A, Sahula V
, Mandal A.S. Automatic recognition of facial expressions in
image sequences: A : Industrial and Information Systems (ICIIS), Mangalore,
India, 2010: 408 - 413
[C72]
Iraj
Hosseini,
Nasim
Shams,
Pooyan
Amini,
Mohammad
S.
Sadri,
Masih
Rahmaty, Sara Rahmaty. Facial Expression Recognition using Wavelet-Based Salient
Points
and
Subspace
Analysis
:
Electrical
and
Computer
Engineering,
Ottawa, Canada, 2006:
1992 - 1995
[C73]
[C74]
[C75]
[C76]
[C77]
[C78]
[C79]
3
、英文
期刊文章
[J1]
Aleksic
P.S.,
Katsaggelos
A.K.
Automatic
facial
expression
recognition
using
facial
animation
parameters
and
multistream
Transactions
on
Information Forensics and Security,
2006, 1(1):3-11
[J2]
Kotsia
I,Pitas
I.
Facial
Expression
Recognition
in
Image
Sequences
Using
Geometric Deformation Features and Support Vector Machines. IEEE Transactions on
Image Processing,
2007, 16(1):172
–
187
[J3] Mpiperis I, Malassiotis S, Strintzis M.G
. Bilinear Models for 3-D Face and Facial
Expression
Recognition.
IEEE
Transactions
on
Information
Forensics
and
Security,
2008,3(3) : 498 - 511
[J4] Sung J, Kim D. Pose- Robust Facial Expression Recognition Using View- Based
2D+3D AAM. IEEE Transactions on Systems and Humans, 2008 , 38 (4): 852 - 866
[J5]Yeasin
M,
Bullot
B,
Sharma
R.
Recognition
of
facial
expressions
and
measurement
of
levels
of
interest
from
video.
IEEE
Transactions
on
Multimedia,
2006, 8(3): 500 - 508
[J6]
Wenming
Zheng,
Xiaoyan
Zhou,
Cairong
Zou,
Li
Zhao.
Facial
expression
bestman-region是什么意思
bestman-region是什么意思
bestman-region是什么意思
bestman-region是什么意思
bestman-region是什么意思
bestman-region是什么意思
bestman-region是什么意思
bestman-region是什么意思
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