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CATEGORIES:Seminar/Colloquia
DESCRIPTION:Reverse-Engineering Biological Cameras\n\nAbstract:  Biological
  vision systems are efficient\, robust\, and well-adapted to specific tasks
  in specific environments. By many metrics\, they continue to outperform th
 e state of the art in artificial vision. Lessons from natural vision are pa
 rticularly valuable for computational imaging systems\, because eyes and br
 ains evolve together to reveal scene information. By analyzing animals’ beh
 aviors\, brains\, eyes\, and environments\, we can uncover computational mo
 dels that enable better camera designs. This talk will describe cameras dev
 eloped with a blend of techniques from the physical\, computational\, and b
 iological sciences\, and discuss tools for finding useful inspiration in th
 e natural world.\n\nBio:  Emma Alexander is an assistant professor of compu
 ter science at Northwestern University\, where she leads the Bio Inspired V
 ision Lab. Her training in physics (BS Yale)\, computer science (BS Yale\, 
 MS PhD Harvard)\, and vision science (postdoc\, UC Berkeley) support her in
 terest in low-level\, physics-based\, bio-inspired artificial vision. Her w
 ork won best student paper at ECCV 2016 and best demo at ICCP 2018.
DTEND:20240920T160000Z
DTSTAMP:20260415T034612Z
DTSTART:20240920T150000Z
GEO:38.648794;-90.30145
LOCATION:Preston M. Green Hall\, Rodin Auditorium\, L0120
SEQUENCE:0
SUMMARY:ESE Seminar Series | Emma Alexander
UID:tag:localist.com\,2008:EventInstance_47384742927079
URL:https://happenings.washu.edu/event/ese-seminar-series-emma-alexander
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