In computer vision, the goal is to develop methods that enable a machine to “understand” or analyze images and videos. This course provides an introduction to computer vision, including fundamental topics in the field ranging from low-level feature extraction to high-level visual recognition. After covering the fundamentals for image processing, grouping, and multiple views, we will emphasize machine learning-based methods, especially for supervised learning and classification. While we will motivate the concepts from the vision problems, the learning algorithms we will study are also useful tools for other domains in AI and beyond.
Computer vision. Machine learning in agriculture.
Head of Department of Computer Science, Vietnam National University of Agriculture since 2011. Specially appointed associate professor at Osaka University, Japan (2016). Received PhD. in Computer science from Graz University of Technology, Austria in 2009 Member of IEEE, VAPR.
Jan 21, 2019 at 23:21