BEGIN:VCALENDAR
VERSION:2.0
PRODID:Linklings LLC
BEGIN:VTIMEZONE
TZID:Australia/Melbourne
X-LIC-LOCATION:Australia/Melbourne
BEGIN:DAYLIGHT
TZOFFSETFROM:+1000
TZOFFSETTO:+1100
TZNAME:AEDT
DTSTART:19721003T020000
RRULE:FREQ=YEARLY;BYMONTH=4;BYDAY=1SU
END:DAYLIGHT
BEGIN:STANDARD
DTSTART:19721003T020000
TZOFFSETFROM:+1100
TZOFFSETTO:+1000
TZNAME:AEST
RRULE:FREQ=YEARLY;BYMONTH=10;BYDAY=1SU
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTAMP:20240214T070241Z
LOCATION:Darling Harbour Theatre\, Level 2 (Convention Centre)
DTSTART;TZID=Australia/Melbourne:20231212T093000
DTEND;TZID=Australia/Melbourne:20231212T124500
UID:siggraphasia_SIGGRAPH Asia 2023_sess209_papers_432@linklings.com
SUMMARY:OpenSVBRDF: A Database of Measured Spatially-Varying Reflectance
DESCRIPTION:Technical Papers\n\nXiaohe Ma, Xianmin Xu, Leyao Zhang, Kun Zh
 ou, and Hongzhi Wu (State Key Laboratory of CAD&CG, Zhejiang Univerisity)\
 n\nWe present the first large-scale database of measured spatially-varying
  anisotropic reflectance, consisting of 1,000 high-quality near-planar SVB
 RDFs, spanning 9 material categories such as wood, fabric and metal. Each 
 sample is captured in 15 minutes, and represented as a set of high-resolut
 ion texture maps that correspond to spatially-varying BRDF parameters and 
 local frames. To build this database, we develop a novel integrated system
  for robust, high-quality and -efficiency reflectance acquisition and reco
 nstruction. Our setup consists of 2 cameras and 16,384 LEDs. We train 64 l
 ighting patterns for efficient acquisition, in conjunction with a network 
 that predicts per-point reflectance in a neural representation from carefu
 lly aligned two-view measurements captured under the patterns. The interme
 diate results are further fine-tuned with respect to the photographs acqui
 red under 63 effective linear lights, and finally fitted to a BRDF model. 
 We report various statistics of the database, and demonstrate its value in
  the applications of material generation, classification as well as sampli
 ng. All related data, including future additions to the database, can be d
 ownloaded from https://opensvbrdf.github.io/.\n\nRegistration Category: Fu
 ll Access, Enhanced Access, Trade Exhibitor, Experience Hall Exhibitor
URL:https://asia.siggraph.org/2023/full-program?id=papers_432&sess=sess209
END:VEVENT
END:VCALENDAR