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 Guodong Guo

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Average citations per article13.96
Citation Count349
Publication count25
Publication years2003-2018
Available for download2
Average downloads per article805.50
Downloads (cumulative)1,611
Downloads (12 Months)121
Downloads (6 Weeks)7
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25 results found Export Results: bibtexendnoteacmrefcsv

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1
January 2018 Journal of Medical Systems: Volume 42 Issue 1, January 2018
Publisher: Plenum Press
Bibliometrics:
Citation Count: 0

In this paper, an overall framework has been presented for person verification using ear biometric which uses tunable filter bank as local feature extractor. The tunable filter bank, based on a half-band polynomial of 14th order, extracts distinct features from ear images maintaining its frequency selectivity property. To advocate the ...
Keywords: Ear biometrics, Human recognition, Tunable filter bank, Wavelet based feature

2
December 2016 IEEE Transactions on Information Forensics and Security: Volume 11 Issue 12, December 2016
Publisher: IEEE Press
Bibliometrics:
Citation Count: 0

Still-to-video (S2V) face recognition has recently attracted attention from researchers because of its great applications in real-world scenarios. In S2V FR, still images are usually of high quality, captured from cooperative users under controlled environment, such as mugshots, while video clips may be acquired with low resolutions and low quality, ...

3
November 2016 Information Fusion: Volume 32 Issue PB, November 2016
Publisher: Elsevier Science Publishers B. V.
Bibliometrics:
Citation Count: 1

A new method for kinship verification from biometrics.A sparse similarity function to model the relative characteristics of kin data.A new formulation combining the merits of ensemble learning and similarity learning.The method has superior verification rate but low computational cost. Kin relationship has been well investigated in psychology community over the ...
Keywords: Face recognition, Metric learning, Genetic similarity, Kinship verification

4
December 2015 ICCVW '15: Proceedings of the 2015 IEEE International Conference on Computer Vision Workshop (ICCVW)
Publisher: IEEE Computer Society
Bibliometrics:
Citation Count: 0

Age estimation from facial images is an important problem in computer vision and pattern recognition. Typically the goal is to predict the chronological age of a person given his or her face picture. It is seldom to study a related problem, that is, how old does a person look like ...

5 published by ACM
March 2015 ACM Transactions on Intelligent Systems and Technology (TIST) - Special Section on Visual Understanding with RGB-D Sensors: Volume 6 Issue 2, May 2015
Publisher: ACM
Bibliometrics:
Citation Count: 3
Downloads (6 Weeks): 6,   Downloads (12 Months): 108,   Downloads (Overall): 337

Full text available: PDFPDF
Human action recognition is a very active research topic in computer vision and pattern recognition. Recently, it has shown a great potential for human action recognition using the three-dimensional (3D) depth data captured by the emerging RGB-D sensors. Several features and/or algorithms have been proposed for depth-based action recognition. A ...
Keywords: decision level, skeleton, spatiotemporal features, feature selection, 4D descriptor, RGB-D sensor, action recognition, depth maps, feature level, data fusion

6
January 2015 Journal of Visual Communication and Image Representation: Volume 26 Issue C, January 2015
Publisher: Academic Press, Inc.
Bibliometrics:
Citation Count: 3

A new framework called TriViews is proposed for action recognition.Five different features are investigated under the TriViews framework.Two features among the five are new to depth-based action recognition.Our approach performs better than the state-of-the-art on three databases. We present an effective framework to utilize 3D depth data for action recognition, ...
Keywords: 3D depth data, Fusion, Public databases, PFA, Action recognition, RGB-D sensor, Kinect, TriViews framework

7
November 2014 Graphs and Combinatorics: Volume 30 Issue 6, November 2014
Publisher: Springer-Verlag
Bibliometrics:
Citation Count: 1

A non-increasing sequence $${\pi = (d_1, d_2, \ldots, d_n)}$$ � = ( d 1 , d 2 , � , d n ) of non-negative integers is said to be graphic if it is the degree sequence of a simple graph G on n vertices. Let A be an (additive) ...
Keywords: Group connectivity, A-connected realization, Graphic sequence

8
August 2014 Image and Vision Computing: Volume 32 Issue 8, August, 2014
Publisher: Butterworth-Heinemann
Bibliometrics:
Citation Count: 10

Human action recognition has lots of real-world applications, such as natural user interface, virtual reality, intelligent surveillance, and gaming. However, it is still a very challenging problem. In action recognition using the visible light videos, the spatiotemporal interest point (STIP) based features are widely used with good performance. Recently, with ...
Keywords: STIP feature refinement, Action recognition, Evaluation, RGB-D sensor, STIP features, Spatiotemporal interest point (STIP), Descriptors, Detectors, Feature fusion

9
July 2013 European Journal of Combinatorics: Volume 34 Issue 5, July, 2013
Publisher: Academic Press Ltd.
Bibliometrics:
Citation Count: 3

A non-increasing sequence @p=(d"1,d"2,...,d"n) of non-negative integers is said to be graphic if it is the degree sequence of a simple graph G on n vertices. Let A be an (additive) Abelian group. An extremal problem for a graphic sequence to have an A-connected realization is considered as follows: determine ...

10
May 2013 Image and Vision Computing: Volume 31 Issue 5, May, 2013
Publisher: Butterworth-Heinemann
Bibliometrics:
Citation Count: 1

Human faces encode plenty of useful information. Recent studies in psychology and human perception have found that facial features have relations to human weight or body mass index (BMI). These studies focus on finding the correlations between facial features and the BMI. Motivated by the recent psychology studies, we develop ...
Keywords: Body mass index (BMI), BMI prediction, Facial features, Large database, Machine vision

11
November 2012 ACCV'12: Proceedings of the 11th Asian conference on Computer Vision - Volume Part IV
Publisher: Springer-Verlag
Bibliometrics:
Citation Count: 0

In this paper, we propose a new reflectance separation model to separate the diffuse and specular reflection components. The model is based on a two-dimensional space called Ch-CV space, which is spanned by maximum chromaticity (Ch) and the coefficient of variation (CV) of RGB color. The space exhibits a more ...

12
November 2011 ICCV '11: Proceedings of the 2011 International Conference on Computer Vision
Publisher: IEEE Computer Society
Bibliometrics:
Citation Count: 1

We study a problem called digital facial anti-aging, which aims at making human faces look younger in digital photos. This novel problem is different from the traditional age synthesis where new faces are synthesized at older ages using other example face images. In contrast, our facial anti-aging works on a ...

13
June 2011 CVPR '11: Proceedings of the 2011 IEEE Conference on Computer Vision and Pattern Recognition
Publisher: IEEE Computer Society
Bibliometrics:
Citation Count: 8

Human age estimation has recently become an active research topic in computer vision and pattern recognition, because of many potential applications in reality. In this paper we propose to use the kernel partial least squares (KPLS) regression for age estimation. The KPLS (or linear PLS) method has several advantages over ...
Keywords: simultaneous feature dimensionality reduction, human age estimation, computer vision, pattern recognition, kernel partial least square regression, linear PLS method

14
November 2010 IEEE Transactions on Pattern Analysis and Machine Intelligence: Volume 32 Issue 11, November 2010
Publisher: IEEE Computer Society
Bibliometrics:
Citation Count: 44

Human age, as an important personal trait, can be directly inferred by distinct patterns emerging from the facial appearance. Derived from rapid advances in computer graphics and machine vision, computer-based age synthesis and estimation via faces have become particularly prevalent topics recently because of their explosively emerging real-world applications, such ...
Keywords: survey., Face aging, Face aging, age estimation, age synthesis, age progression, survey., age estimation, age progression, age synthesis

15
August 2010 ICPR '10: Proceedings of the 2010 20th International Conference on Pattern Recognition
Publisher: IEEE Computer Society
Bibliometrics:
Citation Count: 6

Facial aging can degrade the face recognition performance dramatically. Traditional face recognition studies focus on dealing with pose, illumination, and expression (PIE) changes. Considering a large span of age difference, the influence of facial aging could be very significant compared to the PIE variations. How big the aging influence could ...

16
September 2009 ACCV'09: Proceedings of the 9th Asian conference on Computer Vision - Volume Part III
Publisher: Springer-Verlag
Bibliometrics:
Citation Count: 4

In this paper we study the problem of gender recognition from human body To represent human body images for the purpose of gender recognition, we propose to use the biologically-inspired features in combination with manifold learning techniques A framework is also proposed to deal with the body pose change or ...

17 published by ACM
July 2008 CIVR '08: Proceedings of the 2008 international conference on Content-based image and video retrieval
Publisher: ACM
Bibliometrics:
Citation Count: 28
Downloads (6 Weeks): 3,   Downloads (12 Months): 62,   Downloads (Overall): 1,239

Full text available: PDFPDF
Since the emergence of extensive multimedia data, feature fusion has been more and more important for image and video retrieval, indexing and annotation. Existing feature fusion techniques simply concatenate a pair of different features or use canonical correlation analysis based methods for joint dimensionality reduction in the feature space. However, ...
Keywords: canonical correlation, image set, face recognition, feature fusion, subspace learning, tensor

18
July 2008 IEEE Transactions on Image Processing: Volume 17 Issue 7, July 2008
Publisher: IEEE Press
Bibliometrics:
Citation Count: 56

Estimating human age automatically via facial image analysis has lots of potential real-world applications, such as human computer interaction and multimedia communication. However, it is still a challenging problem for the existing computer vision systems to automatically and effectively estimate human ages. The aging process is determined by not only ...
Keywords: Age manifold, locally adjusted robust regression, manifold learning, human age estimation, support vector machine (SVM), nonlinear regression, support vector regression (SVR)

19
January 2008 WACV '08: Proceedings of the 2008 IEEE Workshop on Applications of Computer Vision
Publisher: IEEE Computer Society
Bibliometrics:
Citation Count: 8

Automatic human age estimation has considerable potential applications in human computer interaction and multimedia communication. However, the age estimation problem is challenging. We design a locally adjusted robust regressor (LARR) for learning and prediction of human ages. The novel approach reduces the age estimation errors significantly over all previous methods. ...

20
January 2008 WACV '08: Proceedings of the 2008 IEEE Workshop on Applications of Computer Vision
Publisher: IEEE Computer Society
Bibliometrics:
Citation Count: 4

Biometrics has become more and more important in security applications. In comparison with many other biometric features, iris recognition has very high recognition accuracy. Successful iris recognition depends largely on correct iris localization, however, the performance of current techniques for iris localization still leaves room for improvement. To improve the ...



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