Visual Data Processing and Interpretation

About This Course

This course presents the fundamentations and important computational algorithms that are very related to important applications in visual information processing and analysis: from image acquisition to processing, and to interpretation/understanding. The emphasis is on the tight integration of mathematical foundations, numerical algorithms, and programming implementation techniques on industrial applications. Major topics include: fundamentals for pictorial data acquisition and processing, Computational method for 3D reconstruction, Clustering and segmentation, computational methods for learning and their applications in pattern analysis. The topics covered in this module will prepare students well the theortical foundation, computing skills and sufficient expriences on practical problems, that are necessary to enter the workforce that deal with visual data related applications.