{"id":739,"date":"2021-06-15T16:19:59","date_gmt":"2021-06-15T16:19:59","guid":{"rendered":"https:\/\/light.informatik.uni-bonn.de\/?page_id=739"},"modified":"2023-05-11T19:20:48","modified_gmt":"2023-05-11T19:20:48","slug":"clara-callenberg","status":"publish","type":"page","link":"https:\/\/light.informatik.uni-bonn.de\/team\/clara-callenberg\/","title":{"rendered":"Clara Callenberg"},"content":{"rendered":"<div class=\"person\">\r\n<div class=\"specs\" style=\"background-image:url(&quot;\/photos\/clara.jpg&quot;);\">\r\n<h4>Dr. Clara Callenberg<\/h4>\r\n<b>Alumni<\/b><br>\r\n\r\nE-mail: callenbe@cs.uni-bonn.de<br>\r\n<\/div>\r\n<\/div>\r\n\r\n\r\n<h3>Publications:<\/h3>\r\n<div class='publist-item'><h4 class=\"lcp_post\"><a href=\"https:\/\/light.informatik.uni-bonn.de\/rendering-iridescent-rock-dove-neck-feathers\/\">Rendering Iridescent Rock Dove Neck Feathers<\/a><\/h4><b>Weizhen Huang, Sebastian Merzbach, Clara Callenberg, Doekele G. Stavenga, Matthias B. Hullin<\/b><br \/>In Proceedings of SIGGRAPH 2022 (Conference Papers), 2022.   <p><i>A practical appearance model for iridescent feathers.<\/i><\/p><\/div><div class='publist-item'><h4 class=\"lcp_post\"><a href=\"https:\/\/light.informatik.uni-bonn.de\/super-resolution-time-resolved-imaging-using-computational-sensor-fusion\/\">Super-Resolution Time-Resolved Imaging Using Computational Sensor Fusion<\/a><\/h4><b>Clara Callenberg, Ashley Lyons, Dennis den Brok, Areeba Fatima, Alejandro Turpin, Vytautas Zickus, Laura M. Machesky, Jamie A. Whitelaw, Daniele Faccio, Matthias B. Hullin<\/b><br \/>Scientific Reports (Nature Publishing Group) 11, 1689 (2021), https:\/\/doi.org\/10.1038\/s41598-021-81159-x, 2021.   <a href=\"https:\/\/light.informatik.uni-bonn.de\/super-resolution-time-resolved-imaging-using-computational-sensor-fusion\/\" title=\"Super-Resolution Time-Resolved Imaging Using Computational Sensor Fusion\"><img width=\"1444\" height=\"1062\" src=\"https:\/\/light.informatik.uni-bonn.de\/wp-content\/uploads\/2021\/06\/superresolution.png\" class=\"listthumb wp-post-image\" alt=\"Super-Resolution Time-Resolved Imaging Using Computational Sensor Fusion\" loading=\"lazy\" \/><\/a><p><i><\/i><\/p><\/div><div class='publist-item'><h4 class=\"lcp_post\"><a href=\"https:\/\/light.informatik.uni-bonn.de\/low-cost-spad-sensing-for-non-line-of-sight-tracking-material-classification-and-depth-imaging\/\">Low-Cost SPAD Sensing for Non-Line-Of-Sight Tracking, Material Classification and Depth Imaging<\/a><\/h4><b>Clara Callenberg, Zheng Shi, Felix Heide, Matthias B. Hullin<\/b><br \/>ACM Transactions on Graphics 40 (4), Article 61 (Proc. SIGGRAPH 2021), 2021.   <a href=\"https:\/\/light.informatik.uni-bonn.de\/low-cost-spad-sensing-for-non-line-of-sight-tracking-material-classification-and-depth-imaging\/\" title=\"Low-Cost SPAD Sensing for Non-Line-Of-Sight Tracking, Material Classification and Depth Imaging\"><img width=\"3000\" height=\"2000\" src=\"https:\/\/light.informatik.uni-bonn.de\/wp-content\/uploads\/2021\/06\/representativeImage.jpg\" class=\"listthumb wp-post-image\" alt=\"Low-Cost SPAD Sensing for Non-Line-Of-Sight Tracking, Material Classification and Depth Imaging\" loading=\"lazy\" \/><\/a><p><i><\/i><\/p><\/div><div class='publist-item'><h4 class=\"lcp_post\"><a href=\"https:\/\/light.informatik.uni-bonn.de\/trigonometric-moments-for-editable-structured-light-range-finding\/\">Trigonometric moments for editable structured light range finding<\/a><\/h4><b>Sebastian Werner, Julian Iseringhausen, Clara Callenberg, Matthias B. Hullin<\/b><br \/>Proc. Vision, Modeling and Visualization, Rostock, Germany , 2019.   <a href=\"https:\/\/light.informatik.uni-bonn.de\/trigonometric-moments-for-editable-structured-light-range-finding\/\" title=\"Trigonometric moments for editable structured light range finding\"><img width=\"2430\" height=\"1600\" src=\"https:\/\/light.informatik.uni-bonn.de\/wp-content\/uploads\/2019\/10\/WernerEtAl-MomentBasedStructuredLight-VMV2019-preview.png\" class=\"listthumb wp-post-image\" alt=\"Trigonometric moments for editable structured light range finding\" loading=\"lazy\" \/><\/a><p><i>We enhance existing structured light phase shifting methods by using trigonometric moments.<\/i><\/p><\/div><div class='publist-item'><h4 class=\"lcp_post\"><a href=\"https:\/\/light.informatik.uni-bonn.de\/snapshot-difference-imaging-using-time-of-flight-sensors\/\">Snapshot Difference Imaging using Correlation Time-of-Flight Sensors<\/a><\/h4><b>Clara Callenberg, Felix Heide, Gordon Wetzstein, Matthias Hullin<\/b><br \/>ACM Transactions on Graphics 36(6) (Proc. SIGGRAPH Asia), 220:1--220:10, 2017.   <a href=\"https:\/\/light.informatik.uni-bonn.de\/snapshot-difference-imaging-using-time-of-flight-sensors\/\" title=\"Snapshot Difference Imaging using Correlation Time-of-Flight Sensors\"><img width=\"300\" height=\"143\" src=\"https:\/\/light.informatik.uni-bonn.de\/wp-content\/uploads\/2017\/05\/diffimg-300.jpg\" class=\"listthumb wp-post-image\" alt=\"Snapshot Difference Imaging using Correlation Time-of-Flight Sensors\" loading=\"lazy\" \/><\/a><p><i>Computation of image differences is a key operation in computational imaging. We use time-of-flight sensors to perform this operation in a single shot, and discover some remarkable features.<\/i><\/p><\/div><div class='publist-item'><h4 class=\"lcp_post\"><a href=\"https:\/\/light.informatik.uni-bonn.de\/material-classification-using-raw-time-of-flight-measurements\/\">Material Classification using Raw Time-of-Flight Measurements<\/a><\/h4><b>Shuochen Su, Felix Heide, Robin Swanson, Jonathan Klein, Clara Callenberg, Matthias B. Hullin, Wolfgang Heidrich<\/b><br \/>Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016.   <a href=\"https:\/\/light.informatik.uni-bonn.de\/material-classification-using-raw-time-of-flight-measurements\/\" title=\"Material Classification using Raw Time-of-Flight Measurements\"><img width=\"300\" height=\"75\" src=\"https:\/\/light.informatik.uni-bonn.de\/wp-content\/uploads\/2017\/05\/teaser2.png\" class=\"listthumb wp-post-image\" alt=\"Material Classification using Raw Time-of-Flight Measurements\" loading=\"lazy\" \/><\/a><p><i>We show that using multi-frequency time-of-flight measurements, five different white materials can be distinguished on a per-pixel basis.<\/i><\/p><\/div>","protected":false},"excerpt":{"rendered":"<p>Dr. Clara Callenberg Alumni E-mail: callenbe@cs.uni-bonn.de Publications:<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":79,"menu_order":4,"comment_status":"closed","ping_status":"closed","template":"","meta":[],"acf":[],"_links":{"self":[{"href":"https:\/\/light.informatik.uni-bonn.de\/wp-json\/wp\/v2\/pages\/739"}],"collection":[{"href":"https:\/\/light.informatik.uni-bonn.de\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/light.informatik.uni-bonn.de\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/light.informatik.uni-bonn.de\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/light.informatik.uni-bonn.de\/wp-json\/wp\/v2\/comments?post=739"}],"version-history":[{"count":35,"href":"https:\/\/light.informatik.uni-bonn.de\/wp-json\/wp\/v2\/pages\/739\/revisions"}],"predecessor-version":[{"id":771,"href":"https:\/\/light.informatik.uni-bonn.de\/wp-json\/wp\/v2\/pages\/739\/revisions\/771"}],"up":[{"embeddable":true,"href":"https:\/\/light.informatik.uni-bonn.de\/wp-json\/wp\/v2\/pages\/79"}],"wp:attachment":[{"href":"https:\/\/light.informatik.uni-bonn.de\/wp-json\/wp\/v2\/media?parent=739"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}