Stanford bunny

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The Stanford bunny

The Stanford bunny is a computer graphics 3D test model developed by Greg Turk and Marc Levoy in 1994 at Stanford University. The model consists of 69,451 triangles, with the data determined by 3D scanning a ceramic figurine of a rabbit.[1] This figurine and others were scanned to test methods of range scanning physical objects.[2]

The data can be used to test various graphics algorithms, including polygonal simplification, compression, and surface smoothing. There are a few complications with this dataset that can occur in any 3D scan data: the model is manifold connected and has holes in the data, some due to scanning limits and some due to the object being hollow.[3] These complications provide a more realistic input for any algorithm that is benchmarked with the Stanford bunny,[4] though by today's standards, in terms of geometric complexity and triangle count, it is considered a simple model.

The model was originally available in .ply (polygons) file format in four different resolutions.[citation needed]

The model can be found at[5]

See also[edit]


  1. ^ Riener, Robert; Harders, Matthias (2012-04-23). Virtual Reality in Medicine. Springer Science & Business Media. p. 55. ISBN 9781447140115.
  2. ^ Turk, Greg; Levoy, Marc (1994). "Zippered polygon meshes from range images". Proceedings of the 21st annual conference on Computer graphics and interactive techniques - SIGGRAPH '94. SIGGRAPH '94. New York, NY, US: ACM (published July 1994). pp. 311–318. doi:10.1145/192161.192241. ISBN 978-0897916677. S2CID 3031529. Archived from the original on 2021-12-30. Retrieved 2022-01-01.{{cite book}}: CS1 maint: date and year (link)
  3. ^ Turk, Greg (August 2000). "The Stanford Bunny". Retrieved 2016-04-06.
  4. ^ Lindstrom, P.; Turk, G. (1998-10-01). "Fast and memory efficient polygonal simplification". Proceedings Visualization '98 (Cat. No.98CB36276). pp. 279–286. CiteSeerX doi:10.1109/VISUAL.1998.745314. ISBN 978-0-8186-9176-8. S2CID 2396550.
  5. ^ "The Stanford 3D Scanning Repository". Retrieved 2023-09-19.

External links[edit]