Dr. Xiuwen Liu received his PhD in Computer and Information Science from Ohio State University in 1999. From 1999-2000, he was a research scientist at Ohio State University. He joined Florida State University in 2000, where he is an assistant professor and founder of the Florida State Vision Research Group.
Research
Dr. Lui’s current areas of research are in the broad areas of computer vision and pattern recognition with emphasis on developing effective statistical models and algorithms for computer vision applications, including image understanding, automated target recognition, content-based image retrieval, object detection and segmentation, and real-time vision systems. The activities of the FSU Vision Group focus on research in computer vision that are motivated by psychophysical data and neurophysiological findings. We emphasize that visual modeling is a fundamental problem in computer vision in that visual perception is nonlinear, which makes many of the tools critical for linear systems not applicable. We focus on models which may have great potentials for real-world problems.
Research activities at Florida State Vision group are centered around visual information processing from human visual perception modeling, computational models and algorithms for perception problems, to real world applications. Visual information processing is a very complex phenomenon that is involved with prior knowledge stored in memory, modeling of the visual environment, and computation at a given moment of deriving a solution for the purpose of survival and decision making.
Selected Publications
- Liu, A. Srivastava, and Kyle Gallivan,``Optimal linear representations of images for object recognition,'' IEEE Transactions on Pattern Recognition and Machine Intelligence, vol. 26, no. 5, 2004.
- Liu and D. L. Wang, ``Texture classification using spectral histograms,'' IEEE Transactions on Image Processing, vol. 12, no. 6,pp. 661--670, 2003.
- Liu and D. L. Wang, ``A spectral histogram model for texton modeling and texture discrimination,'' Vision Research, vol. 42, no. 23, pp. 2617--2634, 2002.
- A Srivastava, X. Liu, and U. Grenander,``Universal analytical forms for modeling image probabilities,''IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 24, no. 9, pp. 1200--1214, 2002.
