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Face recognition using a face-only database: A new approach

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  1. Chapter and Conference Paper

    A Simple Implementation of the Stochastic Discrimination for Pattern Recognition

    The method of stochastic discrimination (SD) introduced by Kleinberg ([6,7]) is a new method in pattern recognition. It works by producing weak classifiers and then combining them via the Central Limit Theorem to...

    Dechang Chen, **uzhen Cheng in Advances in Pattern Recognition (2000)

  2. Chapter and Conference Paper

    Segmentation of Left Ventricle via Level Set Method Based on Enriched Speed Term

    Level set methods have been widely employed in medical image segmentation, and the construction of speed function is vital to segmentation results. In this paper, two ideas for enriching the speed function in ...

    Yingge Qu, Qiang Chen, Pheng Ann Heng in Medical Image Computing and Computer-Assis… (2004)

  3. Chapter and Conference Paper

    User Behavior Mining for On-Line GUI Adaptation

    On-Line Graphics User Interface (GUI) Adaptation technology, which can predict and highlight user’s next operation in menu based graphics interface, is the key problem in next generation pervasive human comput...

    Wei Pan, Yiqiang Chen, Junfa Liu in Digital Human Modeling (2009)

  4. Article

    Open Access

    Spectral Curvature Clustering (SCC)

    This paper presents novel techniques for improving the performance of a multi-way spectral clustering framework (Govindu in Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Patte...

    Guangliang Chen, Gilad Lerman in International Journal of Computer Vision (2009)

  5. Chapter and Conference Paper

    Distance Metric Learning-Based Conformal Predictor

    In order to improve the computational efficiency of conformal predictor, distance metric learning methods were used in the algorithm. The process of learning was divided into two stages: offline learning and o...

    Fan Yang, Zhigang Chen, Guifang Shao in Artificial Intelligence Applications and I… (2012)

  6. Chapter and Conference Paper

    Object-Layout-Aware Image Retrieval for Personal Album Management

    This demo shows a real-time object-layout-aware image retrieval system for personal album management. The query of the system is image’s object layout and the system retrieves images based on the layout simila...

    Mengyou Li, Zheng Song, Qiang Chen in Computer Vision – ECCV 2012. Workshops and… (2012)

  7. Chapter and Conference Paper

    Displacement Template with Divide-&-Conquer Algorithm for Significantly Improving Descriptor Based Face Recognition Approaches

    This paper proposes a displacement template structure for improving descriptor based face recognition approaches. With this template structure, a face is represented by a template consisting of a set of piled ...

    Liang Chen, Ling Yan, Yonghuai Liu, Lixin Gao, **aoqin Zhang in Computer Vision – ECCV 2012 (2012)

  8. Chapter and Conference Paper

    A Theoretical Analysis of Camera Response Functions in Image Deblurring

    Motion deblurring is a long standing problem in computer vision and image processing. In most previous approaches, the blurred image is modeled as the convolution of a latent intensity image with a blur kernel...

    **aogang Chen, Feng Li, Jie Yang, **gyi Yu in Computer Vision – ECCV 2012 (2012)

  9. Chapter and Conference Paper

    Local Clustering Conformal Predictor for Imbalanced Data Classification

    The recently developed Conformal Predictor (CP) can provide calibrated confidence for prediction which is out of the traditional predictors’ capacity. However, CP works for balanced data and fails in the case ...

    Huazhen Wang, Yewang Chen, Zhigang Chen in Artificial Intelligence Applications and I… (2013)

  10. Chapter

    Erratum to: Community Understanding in Location-based Social Networks

    Yi-Liang Zhao, Qiang Chen, Shuicheng Yan in Human-Centered Social Media Analytics (2014)

  11. Chapter and Conference Paper

    Spatiotemporal Background Subtraction Using Minimum Spanning Tree and Optical Flow

    Background modeling and subtraction is a fundamental research topic in computer vision. Pixel-level background model uses a Gaussian mixture model (GMM) or kernel density estimation to represent the distributi...

    Mingliang Chen, Qingxiong Yang, Qing Li, Gang Wang in Computer Vision – ECCV 2014 (2014)

  12. Chapter and Conference Paper

    Towards Unified Object Detection and Semantic Segmentation

    Object detection and semantic segmentation are two strongly correlated tasks, yet typically solved separately or sequentially with substantially different techniques. Motivated by the complementary effect obse...

    Jian Dong, Qiang Chen, Shuicheng Yan, Alan Yuille in Computer Vision – ECCV 2014 (2014)

  13. Chapter and Conference Paper

    A Novel Dynamic Character Grou** Approach Based on the Consistency Constraints

    In optical character recognition, text strings are extracted from images so that it can be edited, formatted, indexed, searched, or translated. Characters should be grouped into text strings before recognition...

    Pengfei Xu, Qiguang Miao, Ruyi Liu, Feng Chen, **aojiang Chen, Weike Nie in Computer Vision (2015)

  14. Chapter and Conference Paper

    Motion-Corrected, Super-Resolution Reconstruction for High-Resolution 3D Cardiac Cine MRI

    Cardiac cine MRI with 3D isotropic resolution is challenging as it requires efficient data acquisition and motion management. It is proposed to use a 2D balanced SSFP (steady-state free precession) sequence ra...

    Freddy Odille, Aurélien Bustin in Medical Image Computing and Computer-Assis… (2015)

  15. Chapter and Conference Paper

    A Stroke Width Based Parameter-Free Document Binarization Method

    This paper presents a parameter-free document binarization method based on text characteristics. For a given stroke width, the text and background regions in binarized object regions are estimated with morphol...

    Qiang Chen, Qing Wang, Sheng-tao Lu, Yu-** Wang in Image and Graphics (2015)

  16. Chapter and Conference Paper

    Identification of Cerebral Small Vessel Disease Using Multiple Instance Learning

    Cerebral small vessel disease (SVD) is a common cause of ageing-associated physical and cognitive impairment. Identifying SVD is important for both clinical and research purposes but is usually dependent on ra...

    Liang Chen, Tong Tong, Chin Pang Ho in Medical Image Computing and Computer-Assis… (2015)

  17. Chapter and Conference Paper

    Multi-modality Gesture Detection and Recognition with Un-supervision, Randomization and Discrimination

    We describe in this paper our gesture detection and recognition system for the 2014 ChaLearn Looking at People (Track 3: Gesture Recognition) organized by ChaLearn in conjunction with the ECCV 2014 conference....

    Guang Chen, Daniel Clarke, Manuel Giuliani in Computer Vision - ECCV 2014 Workshops (2015)

  18. Article

    Open Access

    3D indoor scene modeling from RGB-D data: a survey

    3D scene modeling has long been a fundamental problem in computer graphics and computer vision. With the popularity of consumer-level RGB-D cameras, there is a growing interest in digitizing real-world indoor ...

    Kang Chen, Yu-Kun Lai, Shi-Min Hu in Computational Visual Media (2015)

  19. Chapter and Conference Paper

    Preprocessing and Segmentation Algorithm for Multiple Overlapped Fiber Image

    In the fiber image recognition system, pinpoint segmentation is critical for fiber feature extraction and further identification. In the case of fiber image taken by the optical microscope, the overlapped type...

    **aochun Chen, Yanbin Zhang, Shun Fu, Hu Peng, **ang Chen in Image and Graphics (2017)

  20. Chapter and Conference Paper

    Human Action Recognition Based on Sub-data Learning

    Human action recognizing nowadays plays a key role in varieties of computer vision applications while at the same time it’s quite challenging for the requirement of accuracy and robustness. Most current comput...

    Yang Chen, Tian Wang, Jiakun Li, **aowei Lv, Hichem Snoussi in Computer Vision (2017)

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