Automatic detection of revealing cutting planes in three-dimensional datasets

Cutting planes are useful tools for visualizing the interior of three-dimensional datasets. Placing cutting planes through datasets to produce informative visualizations has traditionally been a manual task. A technique is presented for automatically determining informative placements of cutting planes for viewing volumetric data. This technique is optimized for practical run-time performance and evolved to demonstrate the automatic selection of multiple cutting planes and even the automatic creation of fly-through animations.