Download Ebook Graphics Programming Methods (Graphics Series)
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Graphics Programming Methods (Graphics Series)
Download Ebook Graphics Programming Methods (Graphics Series)
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About the Author
Jeff Lander (Redondo Beach, CA) is the founder of Darwin 3D, a company geared toward a higher adaptation of real-time 3D graphics. Jeff has worked as a programmer for over 15 years in the video game, television, and film arenas, where he developed many real-time graphic applications. He also wrote the monthly Graphic Content column for Game Developer Magazine from 1998-2001, co-founded the Game Technology seminars, and was the graphics section editor for Game Programming Gems 3.
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Product details
Series: Graphics Series
Hardcover: 432 pages
Publisher: Charles River Media; 1 edition (July 24, 2003)
Language: English
ISBN-10: 1584502991
ISBN-13: 978-1584502999
Product Dimensions:
7.8 x 1.5 x 9.8 inches
Shipping Weight: 2.4 pounds
Average Customer Review:
4.0 out of 5 stars
1 customer review
Amazon Best Sellers Rank:
#1,521,828 in Books (See Top 100 in Books)
Graphics programming has been amazingly successful in the last twenty years, driven by Moore's Law and a lot of smart researchers, like those who contributed to this book.The attraction here is that you can see what are the major current problems in graphics. Whereas 15 years ago, say, texture maps and NURBS would have been cutting edge, now those have been incorporated into most software packages and even hardware.There is still more to be done with fractals, as the book reveals. Better, more lifelike landscapes, for example.But perhaps the hardest, and least developed aspect treated in the book is that of modelling human faces, and the inverse problem of recognising faces from actual photographs. This is not meant as a criticism of those authors discussing it. Rather it is because of evolution. How does an animal recognise another of its own species? Ever since sight evolved, this is a fundamental issue that is crucial to species propagation. Hence, when you recognise a familiar face, you are invoking old and opaque algorithms buried deep in our brain.As a result, when you look at a computer generated human face, you are far more likely to find something "off" about it than you are with an image of a tree.The book's facial methods are an excellent start to this problem. But much remains to be done.
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