“Sorting in Space: Multidimensional Data Structures for Computer Graphics and Vision Applications” Chaired by Hanan Samet
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Title:
- Sorting in Space: Multidimensional Data Structures for Computer Graphics and Vision Applications
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Abstract:
We show how to represent spatial data using techniques that sort it.
They include quadtrees, octrees, and bounding volume hierarchies and
are rooted in the intersection between computer vision and graphics.
We focus on building these representations and on finding nearest
neighbors which is critical when using machine learning method
Additional Information:
Level: Beginner
Prerequisites: Familiarity with computer terminology and some programming experience
Presentation Language: English
Intended Audience: Practitioners working in computer graphics and computer vision will be given a different perspective on data structures found to be useful in most applications. Game developers and technical managers will appreciate the presentation and methods described herein.
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