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Faculty Bookshelf:
Computer Vision for Visual Effects Modern blockbuster movies seamlessly introduce impossible characters and action into real-world settings using digital visual effects. These effects are made possible by research from the field of computer vision, the study of how to automatically understand images. Computer Vision for Visual Effects will educate students, engineers, and researchers about the fundamental computer vision principles and state-of-the-art algorithms used to create cutting-edge visual effects for movies and television.
Engineering Problem-Solving 101: Time-Tested and Timeless Techniques Going beyond “plug-and-chug” solutions, this multidisciplinary guide explains the underlying scientific principles, provides detailed engineering analysis, and lays out versatile problem-solving methodologies.
Alternative Histories: New York Art Spaces 1960 to 2010 This book—part exhibition catalogue, part cultural history—chronicles alternative art spaces in New York City since the 1960s. Developed from an exhibition of the same name at Exit Art, Alternative Histories documents more than 130 alternative spaces, groups, and projects, and the significant contributions these organizations have made to the aesthetic and social fabric of New York City. Alternative art spaces offer sites for experimentation for artists to innovate, perform, and exhibit outside the commercial gallery-and-museum circuit. In New York City, the development of alternative spaces was almost synonymous with the rise of the contemporary art scene.
Multispectral Satellite Image Understanding: From Land Classification to Building and Road Detection This book presents a comprehensive review of image processing methods, for the analysis of land use in residential areas. Combining a theoretical framework with highly practical applications, the book describes a system for the effective detection of single houses and streets in very high resolution. This pioneering work on automated satellite and aerial image-understanding systems will be of interest to researchers in both remote sensing and computer vision, highlighting the benefit of interdisciplinary collaboration between the two communities. |
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Inside Rensselaer
Volume 7, Number 2, February 1, 2013 Rensselaer Polytechnic Institute |
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