Jim Blinn's Corner: A Trip Down the Graphics Pipeline by Jim Blinn

By Jim Blinn

For nearly 3 many years eminent machine graphicist Jim Blinn has coupled his medical wisdom and inventive skills to foster the expansion of the pc images box. His many contributions contain the Voyager Fly-by animations of area missions to Jupiter, Saturn, and Uranus; The Mechanical Universe, a 52-part telecourse of lively physics; and the pc animation of Carl Sagan's PBS sequence Cosmos. furthermore, Blinn, the recipient of the 1st SIGGRAPH special effects success Award, has built many generic snap shots thoughts, together with bump mapping, atmosphere mapping, and blobby modeling.
Blinn stocks his perception and event in "Jim Blinn's Corner," an award-winning column within the technical journal IEEE special effects and Applications within which he unveils his most valuable images tools and observations. This ebook, a compendium of 20 of the column's articles, leads you thru the "graphics pipeline" delivering a wealth of advice and methods. It explores universal photographs difficulties, lots of that have by no means prior to been addressed.
a useful source for any pictures expert
In his interesting and inspirational sort, Blinn examines numerous issues to assist special effects software program and alertness builders realize and resolve photographs programming difficulties. targeting geometry and the snap shots pipeline, he shares:
* effortless to appreciate reasons of adverse innovations gleaned from years of teaching

* attention-grabbing examples of tough specific situations that reason traditional algorithms to fail

* hugely subtle algorithms for clipping, viewing, lighting fixtures, and rendering
* effortless to appreciate factors of adverse thoughts gleaned from years of teaching
* fascinating examples of tough specified situations that reason traditional algorithms to fail
* hugely subtle algorithms for clipping, viewing, lights, and rendering

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Extra info for Jim Blinn's Corner: A Trip Down the Graphics Pipeline

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Next, we execute the fully instrumented translet (instrumented for taint initialization, data-taint propagation, and control-taint propagation) on the faulty input. We use the xsltc command-line API. The execution of the instrumented translet produces an annotated taint log. For a data-taint tag, the taint information contains either a taint mark, or an association to an intermediate variable created and used in the XSL transform. The taint information for a variable tag may itself contain either taint marks, or associations to other intermediate variables.

The failure) is observed. For a model-to-text transform, such a relevant context is appropriate because a transform typically builds the output text in a string buffer b that is printed out to a file at the end of the transformation. If the fault localization were to start at the output statement and the string buffer b as the relevant variable—for example, as the penumbra tool would do—the entire input model would be identified as the fault space. In our approach, the relevant context for fault localization is an error marker.

This case corresponds to path 1 → 3 → 5 in Figure 2. In a large model that contains thousands of elements and attributes, locating such subtle faults can be very difficult. Next, we present our approach that guides the user in locating such input-model faults. 3 Dynamic Taint Analysis for Debugging Figure 4 presents an overview of our approach. Given a transform program P and a failure-inducing input model I, the approach requires the user to identify error markers, which indicate the points in the output string at which a substring is missing or an incorrect substring is generated.

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