Computational Texture and Patterns

Dr. Kristin J. Dana received a Ph.D. from Columbia University (New York, NY) in 1999, an M.S. degree from Massachusetts Institute of Technology in 1992 (Cambridge, MA), and a B.S. degree in 1990 from the Cooper Union (New York, NY). She is currently a Full Professor in the Department of Electrical and Computer Engineering at Rutgers University. She is also a member of the graduate faculty of Rutgers Computer Science Department. Prior to academia, Dr. Dana was on the research staff at Sarnoff Corporation a subsidiary of SRI (formerly Stanford Research Institute), developing real-time motion estimation algorithms for applications in defense, biomedicine, and entertainment industries. She is the recipient of the General Electric ""Faculty of the Future"" fellowship in 1990, the Sarnoff Corporation Technical Achievement Award in 1994 for the development of a practical algorithm for the real-time alignment of visible and infrared video images, the 2001 National Science Foundation Career Award for a program investigating surface science for vision and graphics, and a team recipient of the Charles Pankow Innovation Award in 2014 from the ASCE. Dr. Danas research expertise is in computer vision including computational photography, machine learning, quantitative dermatology, illumination modeling, texture and reflectance models, optical devices, and applications of robotics. On these topics, she has published over 70 papers in leading journals and conferences.

Preface.- Acknowledgments.- Visual Patterns and Texture.- Textons in Human and Computer Vision.- Texture Recognition.- Texture Segmentation.- Texture Synthesis.- Texture Style Transfer.- Return of the Pyramids.- Open Issues in Understanding Visual Patterns.- Applications for Texture and Patterns.- Tools for Mining Patterns: Cloud Services and Software Libraries.- Bibliography.- Author's Biography.