Automatic Lens Design based on Differentiable Ray-tracing

dc.conference.date2022-07-11 to 2022-07-15
dc.conference.locationVancouver, BC, CAN
dc.conference.nameComputational Optical Sensing and Imaging, COSI 2022
dc.contributor.authorYang, Xinge
dc.contributor.authorFu, Qiang
dc.contributor.authorHeidrich, Wolfgang
dc.contributor.departmentComputational Imaging Group
dc.contributor.departmentComputer Science Program
dc.contributor.departmentComputer, Electrical and Mathematical Science and Engineering (CEMSE) Division
dc.contributor.departmentVisual Computing Center (VCC)
dc.date.accessioned2022-10-27T07:39:39Z
dc.date.available2022-10-27T07:39:39Z
dc.date.issued2022
dc.description.abstractWe propose a fully differentiable optical design method enabled by curriculum learning. Preliminary results show that our framework is suitable to solve highly non-convex problems like cellphone lens design.
dc.eprint.versionPost-print
dc.identifier.citationYang, X., Fu, Q., & Heidrich, W. (2022). Automatic Lens Design based on Differentiable Ray-tracing. Imaging and Applied Optics Congress 2022 (3D, AOA, COSI, ISA, PcAOP). https://doi.org/10.1364/cosi.2022.cth4c.2
dc.identifier.doi10.1364/cosi.2022.cth4c.2
dc.identifier.eid2-s2.0-85139118108
dc.identifier.isbn9781557528209
dc.identifier.urihttp://hdl.handle.net/10754/685232
dc.publisherOptica Publishing Group
dc.relation.urlhttps://opg.optica.org/abstract.cfm?URI=COSI-2022-CTh4C.2
dc.rightsThis is an accepted manuscript version of a paper before final publisher editing and formatting. Archived with thanks to Optica Publishing Group.
dc.titleAutomatic Lens Design based on Differentiable Ray-tracing
dc.typeConference Paper
dc.typePresentation
display.details.left<span><h5>Type</h5>Conference Paper<br>Presentation<br><br><h5>Authors</h5><a href="https://repository.kaust.edu.sa/search?query=orcid.id:0000-0002-4936-1347&spc.sf=dc.date.issued&spc.sd=DESC">Yang, Xinge</a> <a href="https://orcid.org/0000-0002-4936-1347" target="_blank"><img src="https://repository.kaust.edu.sa/server/api/core/bitstreams/82a625b4-ed4b-40c8-865a-d6a5225a26a4/content" width="16" height="16"/></a><br><a href="https://repository.kaust.edu.sa/search?query=orcid.id:0000-0001-6395-8521&spc.sf=dc.date.issued&spc.sd=DESC">Fu, Qiang</a> <a href="https://orcid.org/0000-0001-6395-8521" target="_blank"><img src="https://repository.kaust.edu.sa/server/api/core/bitstreams/82a625b4-ed4b-40c8-865a-d6a5225a26a4/content" width="16" height="16"/></a><br><a href="https://repository.kaust.edu.sa/search?query=orcid.id:0000-0002-4227-8508&spc.sf=dc.date.issued&spc.sd=DESC">Heidrich, Wolfgang</a> <a href="https://orcid.org/0000-0002-4227-8508" target="_blank"><img src="https://repository.kaust.edu.sa/server/api/core/bitstreams/82a625b4-ed4b-40c8-865a-d6a5225a26a4/content" width="16" height="16"/></a><br><br><h5>KAUST Department</h5><a href="https://repository.kaust.edu.sa/search?spc.sf=dc.date.issued&spc.sd=DESC&f.department=Computational Imaging Group,equals">Computational Imaging Group</a><br><a href="https://repository.kaust.edu.sa/search?spc.sf=dc.date.issued&spc.sd=DESC&f.department=Computer Science Program,equals">Computer Science Program</a><br><a href="https://repository.kaust.edu.sa/search?spc.sf=dc.date.issued&spc.sd=DESC&f.department=Computer, Electrical and Mathematical Science and Engineering (CEMSE) Division,equals">Computer, Electrical and Mathematical Science and Engineering (CEMSE) Division</a><br><a href="https://repository.kaust.edu.sa/search?spc.sf=dc.date.issued&spc.sd=DESC&f.department=Visual Computing Center (VCC),equals">Visual Computing Center (VCC)</a><br><br><h5>Date</h5>2022</span>
display.details.right<span><h5>Abstract</h5>We propose a fully differentiable optical design method enabled by curriculum learning. Preliminary results show that our framework is suitable to solve highly non-convex problems like cellphone lens design.<br><br><h5>Citation</h5>Yang, X., Fu, Q., & Heidrich, W. (2022). Automatic Lens Design based on Differentiable Ray-tracing. Imaging and Applied Optics Congress 2022 (3D, AOA, COSI, ISA, PcAOP). https://doi.org/10.1364/cosi.2022.cth4c.2<br><br><h5>Publisher</h5><a href="https://repository.kaust.edu.sa/search?spc.sf=dc.date.issued&spc.sd=DESC&f.publisher=Optica Publishing Group,equals">Optica Publishing Group</a><br><br><h5>Conference/Event Name</h5><a href="https://repository.kaust.edu.sa/search?spc.sf=dc.date.issued&spc.sd=DESC&f.conference=Computational Optical Sensing and Imaging, COSI 2022,equals">Computational Optical Sensing and Imaging, COSI 2022</a><br><br><h5>DOI</h5><a href="https://doi.org/10.1364/cosi.2022.cth4c.2">10.1364/cosi.2022.cth4c.2</a><br><br><h5>Additional Links</h5>https://opg.optica.org/abstract.cfm?URI=COSI-2022-CTh4C.2</span>
kaust.personYang, Xinge
kaust.personFu, Qiang
kaust.personHeidrich, Wolfgang
orcid.authorYang, Xinge::0000-0002-4936-1347
orcid.authorFu, Qiang::0000-0001-6395-8521
orcid.authorHeidrich, Wolfgang::0000-0002-4227-8508
orcid.id0000-0002-4227-8508
orcid.id0000-0001-6395-8521
orcid.id0000-0002-4936-1347
refterms.dateFOA2022-10-30T05:24:25Z
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