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Shadow Algorithms Data Miner provides a high-level understanding of the complete set of shadow concepts and algorithms, addressing their usefulness from a larger graphics system perspective. It discusses the applicability and limitations of all the direct illumination approaches for shadow generation.
With an emphasis on shadow fundamentals, the book gives an organized picture of the motivations, complexities, and categorized algorithms available to generate digital shadows. It helps readers select the most relevant algorithms for their needs by placing the shadow algorithms in real-world contexts and looking at them from a larger graphics system perspective. As a result, readers know where to start for their application needs, which algorithms to begin considering, and which papers and supplemental material should be consulted for further details.
- Sales Rank: #3952709 in Books
- Brand: Brand: A K Peters/CRC Press
- Published on: 2012-06-12
- Original language: English
- Number of items: 1
- Dimensions: 9.10" h x .70" w x 6.20" l, 1.36 pounds
- Binding: Hardcover
- 268 pages
- Used Book in Good Condition
Most helpful customer reviews
2 of 2 people found the following review helpful.
Awesome Overview of Shadow Techniques. Very Approachable Language. Not Much Code, But That's OK.
By A. M. Hernandez
Shadow Algorithms Data Miner by Andrew Woo was an interesting find for me. The oddly titled book was released over 2 years ago, yet there wasn't a single review on Amazon (where I purchased the e-book). However, I read the table of contents and it seemed pretty extensive in it's coverage of computer graphic shadow techniques. So I decided to take a chance and purchase the item. I am glad I did.
Prior to vacationing in Japan, I started reading the book and managed to finish it before the plane ride back. It was only about 200 pages long, somewhat short for a technical text, but Woo managed to fit a lot in there. He speaks about planar shadows, shadow depth maps, shadow volumes, ray tracing, hard and soft shadows, filtering techniques, and more. While it certainly was not exhaustive, I don't think that was Andrew Woo's intention with this title. It is much more of a broad overview, with ample references to relevant papers and topics to research further on your own. With that in mind, there is almost zero code or pseudo-code contained in these pages. He just explains the general concepts of how the algorithm functions, and it is up to you to implement after further research.
For any readers using Kindle tablets, you will be in for a treat. The Kindle e-book is formatted exactly like the hard-cover, and happens to be about the same aspect ratio as the Fire HDX. This means it looks basically like a real book, everything is formatted perfectly (a major issue with technical e-books), and you don't have to zoom or pan around. The disadvantage is that you cannot change the font size or background color like you can with most Kindle titles. A fair price to pay for a more streamline experience.
Overall I was impressed with Shadow Algorithms Data Miner and would recommend the book to anyone wanting to learn about computer graphic shadow techniques. Keep in mind the book is highly approachable, but it may be a tad simple for advanced users. If you already have a good understanding of how different shadow algorithms work, you probably won't find any gems here. On the other hand, if you are starting out this book can be invaluable. It has my seal of approval.
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