[visionlist] Mathematics of 3D Reconstruction July 13 - 17

Duff, Timothy tduff at missouri.edu
Sun Jan 18 17:44:23 -05 2026


Please help us spread the word about the following exciting event this summer!

Information about funding and how to apply is given below.

Description: 3D reconstruction of scenes from image data is a classic problem in computer vision. Interest in this problem is at an all-time high, thanks to a wealth of applications which impact society in powerful ways: augmented reality, autonomous driving, cultural heritage, localization, mapping, and space exploration, to name a few. Some of these applications demand reliability of 3D reconstructions, e.g. for human safety, which translates to difficult and unsolved problems in mathematics. Other applications require efficiency at an ever-increasing scale, which calls for novelty in computational methods. This workshop will bring together experts working at an exciting crossroads where engineering, geometry, and optimization impact 3D reconstruction.

Confirmed speakers: (additional speakers TBA)


  1.
Dániel Baráth (ETH Zurich)
  2.
Ronen Basri (Weizmann Institute of Science)
  3.
Ricardo Fabbri (Rio de Janeiro State University at New Fribourg)
  4.
Sara Fridovich-Keil (GA Tech)
  5.
Venu Govindu (IISc Bangalore)
  6.
Qixing Huang (UT Austin)
  7.
Zuzana Kúkelová (CTU Prague)
  8.
Viktor Larsson (Lund)
  9.
Luca Magri (Poli. Milano)
  10.
Tomas Pajdla (CTU Prague)
  11.
David Rosen (Northeastern)
  12.
Yunpeng Shi (Princeton)
  13.
Justin Solomon (MIT)
  14.
Rekha Thomas (UW Seattle)
  15.
Rene Vidal (UPenn)
  16.
Jane Zhao (UIUC)

Funding: ICERM welcomes applications from faculty, postdocs, graduate students, industry scientists, and other researchers who wish to participate. Some funding may be available for travel and lodging. Graduate students who apply must have their advisor submit a statement of support in order to be considered. Please apply at the link below.

Program Website: https://icerm.brown.edu/program/topical_workshop/tw-26-m3d
-------------- next part --------------
An HTML attachment was scrubbed...
URL: <http://visionscience.com/pipermail/visionlist_visionscience.com/attachments/20260118/d1b9c358/attachment-0001.html>


More information about the visionlist mailing list