Our search has the following Google-type functionality:
If you use '+' at the start of a word, that word will be present in the search results.
eg. Harry +Potter
Search results will contain 'Potter'.
If you use '-' at the start of a word, that word will be absent in the search results.
eg. Harry -Potter
Search results will not contain 'Potter'.
If you use 'AND' between 2 words, then both those words will be present in the search results.
eg. Harry AND Potter
Search results will contain both 'Harry' and 'Potter'.
NOTE: AND will only work with single words not phrases.
If you use 'OR' between 2 single words, then either or both of those words will be present in the search results.
eg. 'Harry OR Potter'
Search results will contain just 'Harry', or just 'Potter', or both 'Harry' and 'Potter'.
NOTE: OR will only work with single words not phrases.
If you use 'NOT' before a word, that word will be absent in the search results. (This is the same as using the minus symbol).
eg. 'Harry NOT Potter'
Search results will not contain 'Potter'.
NOTE: NOT will only work with single words not phrases.
If you use double quotation marks around words, those words will be present in that order.
eg. "Harry Potter"
Search results will contain 'Harry Potter', but not 'Potter Harry'.
NOTE: "" cannot be combined with AND, OR & NOT searches.
If you use '*' in a word, it performs a wildcard search, as it signifies any number of characters. (Searches cannot start with a wildcard).
Search results will contain words starting with 'Pot' and ending in 'er', such as 'Potter'.
Richard J. Radke is a Professor in the ECSE (Electrical, Computer, and Systems Engineering) department at Rensselaer Polytechnic Institute (RPI), where he researches topics in computer vision, the study of algorithms for automatically understanding images. After many years of teaching image processing courses, he became particularly interested in the computer vision algorithms behind Hollywood visual effects (VFX), which are the topic of his first book. While writing the book, he was able to visit several VFX companies in California and see lots of behind-the-scenes material from movies and TV. For more information, please visit his book blog, http://cvfxbook.com, and his professional page, http://www.ecse.rpi.edu/~rjradke/research.htm.
Hollywood's achievements in visual effects have been enabled not just by advances in computer graphics, but just as much by techniques from the neighboring field of computer vision. Vision techniques such as camera tracking, 3D reconstruction, and face and body motion capture contribute to most of the visual effects shots we see today. Rich Radke's book Computer Vision for Visual Effects begins with the basics and shows how math, geometry, image processing, and scene understanding comprise these tools that create the movies. Read it and you'll understand an important part of the magic that makes the films we love. Paul Debevec, Scientific and Engineering Academy Award Winner for Lightstage Work Richard Radke has produced a computer vision textbook like no other. The field of computer vision is vast and varied and many techniques apply to only a small number of applications. This book does something completely novel: not only does it provide a clear, current, and detailed examination and explanation of the latest computer vision techniques, it also shows how these techniques are used in the practice of visual effects. Including interviews with visual effects practitioners, this book answers the question, 'That's a cool technique, but is it useful?' and it does it in a complete, well-written, and engaging way. Anyone thinking of applying computer vision techniques to visual effects problems (and more) should run to get a copy of this book. Doug Roble, Digital Domain The visual effects industry relies intimately on highly sophisticated computer vision algorithms and also provides one of the primary application areas for such algorithms. Richard Radke's comprehensive textbook on these subjects reviews hundreds of such algorithms with applications to topics such as image matting and compositing, feature tracking and matchmoving, motion capture, and 3D model acquisition. It will surely find a prominent place on both visual effect practitioners' and computer vision researchers' bookshelves. Richard Szeliski, Microsoft Research