Unwind: Interactive Fish Straightening

April 09, 2019 Β· Declared Dead Β· πŸ› International Conference on Human Factors in Computing Systems

πŸ‘» CAUSE OF DEATH: Ghosted
No code link whatsoever

"No code URL or promise found in abstract"

Evidence collected by the PWNC Scanner

Authors Francis Williams, Alexander Bock, Harish Doraiswamy, Cassandra Donatelli, Kayla Hall, Adam Summers, Daniele Panozzo, ClΓ‘udio T. Silva arXiv ID 1904.04890 Category cs.GR: Graphics Cross-listed cs.HC Citations 6 Venue International Conference on Human Factors in Computing Systems Last Checked 4 months ago
Abstract
The ScanAllFish project is a large-scale effort to scan all the world's 33,100 known species of fishes. It has already generated thousands of volumetric CT scans of fish species which are available on open access platforms such as the Open Science Framework. To achieve a scanning rate required for a project of this magnitude, many specimens are grouped together into a single tube and scanned all at once. The resulting data contain many fish which are often bent and twisted to fit into the scanner. Our system, Unwind, is a novel interactive visualization and processing tool which extracts, unbends, and untwists volumetric images of fish with minimal user interaction. Our approach enables scientists to interactively unwarp these volumes to remove the undesired torque and bending using a piecewise-linear skeleton extracted by averaging isosurfaces of a harmonic function connecting the head and tail of each fish. The result is a volumetric dataset of a individual, straight fish in a canonical pose defined by the marine biologist expert user. We have developed Unwind in collaboration with a team of marine biologists: Our system has been deployed in their labs, and is presently being used for dataset construction, biomechanical analysis, and the generation of figures for scientific publication.
Community shame:
Not yet rated
Community Contributions

Found the code? Know the venue? Think something is wrong? Let us know!

πŸ“œ Similar Papers

In the same crypt β€” Graphics

R.I.P. πŸ‘» Ghosted

Everybody Dance Now

Caroline Chan, Shiry Ginosar, ... (+2 more)

cs.GR πŸ› ICCV πŸ“š 820 cites 7 years ago
R.I.P. πŸ‘» Ghosted

Animating Human Athletics

Jessica K. Hodgins, Wayne L. Wooten, ... (+2 more)

cs.GR πŸ› SIGGRAPH πŸ“š 765 cites 3 years ago

Died the same way β€” πŸ‘» Ghosted