主要从事模式识别与机器学习机器基础理论以及图像识别应用的研究,目前感兴趣的领域有子空间学习、AdaBoost,支持向量机、流形学习。图像识别应用方面主要从事人脸识别、昆虫图像识别、文字图像检测等方面的研究。主要项目成果有:数字内容理解的战略与集成,Linux下的身份认证软件平台,电子护照通关系统,货车关门车故障图像识别。近期已发表的与本项目有关的论文目录如下:
[1] S. Z. Li, J. Yan, X. W. Hou, Z. Y. Li, and H. J. Zhang, Learning Low Dimensional Invariant Signature of 3-D Object under Varying View and Illumination from 2-D Appearances, Proceedings of 8th IEEE International Conference on Computer Vision(ICCV01), 2001, vol. 1, pp. 635–640.
[2] X. W. Hou, S. Z. Li, H. J. Zhang, Q. S. Cheng, Direct Appearance Models, Proceedings of IEEE International Conference on Computer Vision and Pattern Recognition(CVPR01), 2001, vol. 1, pp. 828-833.
[3] S. Z. Li, X. W. Hou, H. J. Zhang, Q. S. Cheng, Learning Spatially Localized, Parts-Based Representation Proceedings of IEEE International Conference on Computer Vision and Pattern Recognition(CVPR01), 2001, vol. 1, pp. 207-212.
[4] S. C. Yan, X. W. Hou, S. Z. Li, H. J. Zhang, Q. S. Cheng, Face Alignment Using View-Based Direct Appearance Models, Special Issue on Facial Image Processing, Analysis and Synthesis, International Journal of Imaging Systems and Technology, 2003, vol. 1, pp. 106-112.
[5] S. Z. Li, X. G. Lv, X. W. Hou, X. H. Peng, Q. S. Cheng, Learning Multi-View Face Subspaces and Facial Pose Estimation Using Independent Component Analysis, IEEE Transactions On Image Processing, 2005, vol. 16(6), pp. 705-712.
[6] Y. Wang, X. W. Hou, T. N. Tan, Recognize Multi-people Interactive Activity by PCA-HMMs, the 7th Asian Conference on Computer Vision (ACCV06), Lecture Notes in Computer Science, 2006, vol. 3581, pp. 160-169.
[7] X. W. Hou, C-L Liu, T. N. Tan, Learning Boosted Asymmetric Classifiers for Object Detection, Proc. IEEE Conf. on Computer Vision and Pattern Recognition, 2006(CVPR06), Vol. 1, pp.330-338.
[8] X.B. Jin, C.-L. Liu, X.W. Hou, Prototype learning by margin-based conditional log-likelihood loss, Proc. 19th ICPR, Tampa, USA, 2008.
[9] Y.F. Pan, X.W. Hou, C.-L. Liu, A robust system to detect and localize texts in natural scene images, 8th IAPR Int. Workshop on DAS, Nara, Japan, Sep. 2008, 35-42.。
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