{"id":10,"date":"2017-05-01T20:33:11","date_gmt":"2017-05-01T20:33:11","guid":{"rendered":"http:\/\/localhost:50002\/?page_id=10"},"modified":"2021-07-14T14:52:50","modified_gmt":"2021-07-14T14:52:50","slug":"publications","status":"publish","type":"page","link":"https:\/\/light.informatik.uni-bonn.de\/publications\/","title":{"rendered":"Publications"},"content":{"rendered":"<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\/a-microfacet-based-hair-scattering-model\/\">A Microfacet-based Hair Scattering Model<\/a><\/h4><b>Weizhen Huang, Matthias B. Hullin, Johannes Hanika<\/b><br \/>Computer Graphics Forum 41 (4) (Proc. EGSR 2022), 2022.   <p><i>The first fiber scattering model based on physically plausible macro-, meso-, and microgeometry.<\/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\/non-line-of-sight-reconstruction-using-efficient-transient-rendering\/\">Non-Line-of-Sight Reconstruction using Efficient Transient Rendering<\/a><\/h4><b>Julian Iseringhausen, Matthias B. Hullin<\/b><br \/>ACM Transactions on Graphics 39 (1), 2020.   <a href=\"https:\/\/light.informatik.uni-bonn.de\/non-line-of-sight-reconstruction-using-efficient-transient-rendering\/\" title=\"Non-Line-of-Sight Reconstruction using Efficient Transient Rendering\"><img width=\"1295\" height=\"519\" src=\"https:\/\/light.informatik.uni-bonn.de\/wp-content\/uploads\/2019\/09\/iseringhausen2018full.jpg\" class=\"listthumb wp-post-image\" alt=\"Non-Line-of-Sight Reconstruction using Efficient Transient Rendering\" loading=\"lazy\" \/><\/a><p><i>In this paper, we present an efficient renderer for three-bounce indirect transient light transport, and use it to reconstruct objects around corners to unprecedented accuracy.<\/i><\/p><\/div><div class='publist-item'><h4 class=\"lcp_post\"><a href=\"https:\/\/light.informatik.uni-bonn.de\/wood-pixels\/\">Computational Parquetry: Fabricated Style Transfer with Wood Pixels<\/a><\/h4><b>Julian Iseringhausen, Michael Weinmann, Weizhen Huang, Matthias B. Hullin<\/b><br \/>ACM Transactions on Graphics 39 (2), 2020.   <a href=\"https:\/\/light.informatik.uni-bonn.de\/wood-pixels\/\" title=\"Computational Parquetry: Fabricated Style Transfer with Wood Pixels\"><img width=\"888\" height=\"600\" src=\"https:\/\/light.informatik.uni-bonn.de\/wp-content\/uploads\/2019\/09\/0052.jpg\" class=\"listthumb wp-post-image\" alt=\"Computational Parquetry: Fabricated Style Transfer with Wood Pixels\" loading=\"lazy\" \/><\/a><p><i>A new computational woodworking technique enabled by analysis of features found in natural materials.<\/i><\/p><\/div><div class='publist-item'><h4 class=\"lcp_post\"><a href=\"https:\/\/light.informatik.uni-bonn.de\/deep-non-line-of-sight-reconstruction\/\">Deep Non-Line-of-Sight Reconstruction<\/a><\/h4><b>Javier Grau Chopite, Matthias B. Hullin, Michael Wand, Julian Iseringhausen<\/b><br \/>Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020.   <a href=\"https:\/\/light.informatik.uni-bonn.de\/deep-non-line-of-sight-reconstruction\/\" title=\"Deep Non-Line-of-Sight Reconstruction\"><img width=\"957\" height=\"365\" src=\"https:\/\/light.informatik.uni-bonn.de\/wp-content\/uploads\/2020\/05\/deepnlos.png\" class=\"listthumb wp-post-image\" alt=\"Deep Non-Line-of-Sight Reconstruction\" loading=\"lazy\" \/><\/a><p><i>The first deep-learning framework for reconstructing object shapes around a corner.<\/i><\/p><\/div><div class='publist-item'><h4 class=\"lcp_post\"><a href=\"https:\/\/light.informatik.uni-bonn.de\/chemomechanical-simulation-of-soap-film-flow-on-spherical-bubbles\/\">Chemomechanical Simulation of Soap Film Flow on Spherical Bubbles<\/a><\/h4><b>Weizhen Huang, Julian Iseringhausen, Tom Kneiphof, Ziyin Qu, Chenfanfu Jiang, Matthias B. Hullin<\/b><br \/>ACM Transactions on Graphics 39 (4) (Proc. SIGGRAPH), 2020.   <a href=\"https:\/\/light.informatik.uni-bonn.de\/chemomechanical-simulation-of-soap-film-flow-on-spherical-bubbles\/\" title=\"Chemomechanical Simulation of Soap Film Flow on Spherical Bubbles\"><img width=\"2029\" height=\"1080\" src=\"https:\/\/light.informatik.uni-bonn.de\/wp-content\/uploads\/2020\/05\/papers_101s3.jpg\" class=\"listthumb wp-post-image\" alt=\"Chemomechanical Simulation of Soap Film Flow on Spherical Bubbles\" loading=\"lazy\" \/><\/a><p><i>A framework for simulating the intricate flow within spherical soap films.<\/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\/real-time-rendering-of-wave-optical-effects-on-scratched-surfaces\/\">Real-Time Rendering of Wave-Optical Effects on Scratched Surfaces<\/a><\/h4><b>Zdravko Velinov*, Sebastian Werner*, Matthias B. Hullin (* joint first authors)<\/b><br \/>Computer Graphics Forum 37 (2) (Proc. EUROGRAPHICS), 2018.   <a href=\"https:\/\/light.informatik.uni-bonn.de\/real-time-rendering-of-wave-optical-effects-on-scratched-surfaces\/\" title=\"Real-Time Rendering of Wave-Optical Effects on Scratched Surfaces\"><img width=\"300\" height=\"240\" src=\"https:\/\/light.informatik.uni-bonn.de\/wp-content\/uploads\/2018\/01\/representative-image.jpg\" class=\"listthumb wp-post-image\" alt=\"Real-Time Rendering of Wave-Optical Effects on Scratched Surfaces\" loading=\"lazy\" \/><\/a><p><i>In this paper, we develop closed-form solutions for illuminating our iridescent scratch model with spherical and polygonal area light sources, bringing this effect within reach of real-time applications for the first time. <\/i><\/p><\/div><div class='publist-item'><h4 class=\"lcp_post\"><a href=\"https:\/\/light.informatik.uni-bonn.de\/single-pixel-people-identification\/\">Neural network identification of people hidden from view with a single-pixel, single-photon detector<\/a><\/h4><b>Piergiorgio Caramazza, Alessandro Boccolini, Daniel Buschek, Matthias Hullin, Catherine F. Higham, Robert Henderson, Roderick Murray-Smith, Daniele Faccio <\/b><br \/>Scientific Reports (Nature Publishing Group), 8, 11945; doi: 10.1038\/s41598-018-30390-0, 2018.   <a href=\"https:\/\/light.informatik.uni-bonn.de\/single-pixel-people-identification\/\" title=\"Neural network identification of people hidden from view with a single-pixel, single-photon detector\"><img width=\"900\" height=\"342\" src=\"https:\/\/light.informatik.uni-bonn.de\/wp-content\/uploads\/2018\/08\/caramazza.jpg\" class=\"listthumb wp-post-image\" alt=\"Neural network identification of people hidden from view with a single-pixel, single-photon detector\" loading=\"lazy\" \/><\/a><p><i>We demonstrate a machine learning approach that can locate and identify people from time-resolved single-pixel measurements.<\/i><\/p><\/div><div class='publist-item'><h4 class=\"lcp_post\"><a href=\"https:\/\/light.informatik.uni-bonn.de\/a-quantitative-platform-for-non-line-of-sight-imaging-problems\/\">A Quantitative Platform for Non-Line-of-Sight Imaging Problems<\/a><\/h4><b>Jonathan Klein, Martin Laurenzis, Dominik L. Michels, Matthias B. Hullin<\/b><br \/>In Proceedings of British Machine Vision Conference (BMVC 2018), Northumbria University, Newcastle, UK, September 3-6, 2018, 2018.   <a href=\"https:\/\/light.informatik.uni-bonn.de\/a-quantitative-platform-for-non-line-of-sight-imaging-problems\/\" title=\"A Quantitative Platform for Non-Line-of-Sight Imaging Problems\"><img width=\"400\" height=\"151\" src=\"https:\/\/light.informatik.uni-bonn.de\/wp-content\/uploads\/2018\/09\/representative-image.png\" class=\"listthumb wp-post-image\" alt=\"A Quantitative Platform for Non-Line-of-Sight Imaging Problems\" loading=\"lazy\" \/><\/a><p><i>In this paper, we present a reference database of time-resolved light echoes for non-line-of-sight sensing.<\/i><\/p><\/div><div class='publist-item'><h4 class=\"lcp_post\"><a href=\"https:\/\/light.informatik.uni-bonn.de\/4d-imaging-through-spray-on-optics\/\">4D Imaging through Spray-On Optics<\/a><\/h4><b>Julian Iseringhausen, Bastian Goldl\u00fccke, Nina Pesheva, Stanimir Iliev, Alexander Wender, Martin Fuchs, Matthias B. Hullin<\/b><br \/>ACM Transactions on Graphics 36(4) (Proc. SIGGRAPH), 35:1--35:11, 2017.   <a href=\"https:\/\/light.informatik.uni-bonn.de\/4d-imaging-through-spray-on-optics\/\" title=\"4D Imaging through Spray-On Optics\"><img width=\"300\" height=\"109\" src=\"https:\/\/light.informatik.uni-bonn.de\/wp-content\/uploads\/2017\/05\/iseringhausen2017-300.jpg\" class=\"listthumb wp-post-image\" alt=\"4D Imaging through Spray-On Optics\" loading=\"lazy\" \/><\/a><p><i>Raindrops on a window heavily distort the view of the scene. We show that a fully calibrated 4D light field can be recovered from a single photograph taken under such adverse conditions.<\/i><\/p><\/div><div class='publist-item'><h4 class=\"lcp_post\"><a href=\"https:\/\/light.informatik.uni-bonn.de\/digital-transmission-of-subjective-material-appearance\/\">Digital Transmission of Subjective Material Appearance<\/a><\/h4><b>Rodrigo Mart&iacute;n, Michael Weinmann, Matthias B. Hullin<\/b><br \/>Proc. WSCG, 2017.   <a href=\"https:\/\/light.informatik.uni-bonn.de\/digital-transmission-of-subjective-material-appearance\/\" title=\"Digital Transmission of Subjective Material Appearance\"><img width=\"300\" height=\"93\" src=\"https:\/\/light.informatik.uni-bonn.de\/wp-content\/uploads\/2017\/05\/transmission-300.jpg\" class=\"listthumb wp-post-image\" alt=\"Digital Transmission of Subjective Material Appearance\" loading=\"lazy\" \/><\/a><p><i>How well do various digital appearance representations perform at communicating the \"touch and feel\" of materials?<\/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\/scratch-iridescence-wave-optical-rendering-of-diffractive-surface-structure\/\">Scratch Iridescence: Wave-Optical Rendering of Diffractive Surface Structure<\/a><\/h4><b>Sebastian Werner*, Zdravko Velinov*, Wenzel Jakob, Matthias B. Hullin (* joint first authors)<\/b><br \/>ACM Transactions on Graphics 36(6) (Proc. SIGGRAPH Asia), 207:1--207:14, 2017.   <a href=\"https:\/\/light.informatik.uni-bonn.de\/scratch-iridescence-wave-optical-rendering-of-diffractive-surface-structure\/\" title=\"Scratch Iridescence: Wave-Optical Rendering of Diffractive Surface Structure\"><img width=\"300\" height=\"165\" src=\"https:\/\/light.informatik.uni-bonn.de\/wp-content\/uploads\/2017\/05\/scratches-300a.jpg\" class=\"listthumb wp-post-image\" alt=\"Scratch Iridescence: Wave-Optical Rendering of Diffractive Surface Structure\" loading=\"lazy\" \/><\/a><p><i>Many real-world surfaces are covered in fine scratches that diffract light in colorful ways. Our model seamlessly transitions between ray optics and wave optics to recreate this intricate effect.<\/i><\/p><\/div><div class='publist-item'><h4 class=\"lcp_post\"><a href=\"https:\/\/light.informatik.uni-bonn.de\/machine-learning-assisted-identification-of-people-hidden-behind-a-corner\/\">Machine Learning Assisted Identification of People Hidden Behind a Corner<\/a><\/h4><b>Piergiorgio Caramazza, Alessandro Boccolini, Gabriella Musarra, Matthias Hullin, Roderick Murray-Smith, Daniele Faccio<\/b><br \/>Computational Optical Sensing and Imaging, 2017.   <p><i>We demonstrate the use of machine learning to classify temporal histograms of the light-echoes backscattered from bodies hidden from view around a corner, captured by a SPAD camera.<\/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><div class='publist-item'><h4 class=\"lcp_post\"><a href=\"https:\/\/light.informatik.uni-bonn.de\/tracking-objects-outside-the-line-of-sight-using-2d-intensity-images\/\">Tracking Objects Outside the Line of Sight using 2D Intensity Images<\/a><\/h4><b>Jonathan Klein, Christoph Peters, Jaime Mart&iacute;n, Martin Laurenzis, Matthias B. Hullin<\/b><br \/>Scientific Reports (Nature Publishing Group), 6, 32491; doi: 10.1038\/srep32491, 2016.   <a href=\"https:\/\/light.informatik.uni-bonn.de\/tracking-objects-outside-the-line-of-sight-using-2d-intensity-images\/\" title=\"Tracking Objects Outside the Line of Sight using 2D Intensity Images\"><img width=\"300\" height=\"133\" src=\"https:\/\/light.informatik.uni-bonn.de\/wp-content\/uploads\/2017\/05\/intenscorners-300.png\" class=\"listthumb wp-post-image\" alt=\"Tracking Objects Outside the Line of Sight using 2D Intensity Images\" loading=\"lazy\" \/><\/a><p><i>We demonstrate the tracking of objects outside the line of sight from 3rd-order indirect diffuse reflections, captured using a regular laser pointer and a 2D camera.<\/i><\/p><\/div><div class='publist-item'><h4 class=\"lcp_post\"><a href=\"https:\/\/light.informatik.uni-bonn.de\/an-interactive-appearance-model-for-microscopic-fiber-surfaces\/\">An Interactive Appearance Model for Microscopic Fiber Surfaces<\/a><\/h4><b>Zdravko Velinov and Matthias Hullin<\/b><br \/>Proc. Vision, Modeling and Visualization, Bayreuth, Germany, 2016.   <a href=\"https:\/\/light.informatik.uni-bonn.de\/an-interactive-appearance-model-for-microscopic-fiber-surfaces\/\" title=\"An Interactive Appearance Model for Microscopic Fiber Surfaces\"><img width=\"300\" height=\"121\" src=\"https:\/\/light.informatik.uni-bonn.de\/wp-content\/uploads\/2017\/05\/vmv2016-repr-image3.jpg\" class=\"listthumb wp-post-image\" alt=\"An Interactive Appearance Model for Microscopic Fiber Surfaces\" loading=\"lazy\" \/><\/a><p><i>A reflectance model for pile fabrics that you can \"draw on\" using your fingers, like velvet or Alcantara.<\/i><\/p><\/div><div class='publist-item'><h4 class=\"lcp_post\"><a href=\"https:\/\/light.informatik.uni-bonn.de\/doppler-time-of-flight-imaging\/\">Doppler Time-of-Flight Imaging<\/a><\/h4><b>Felix Heide, Wolfgang Heidrich, Matthias B. Hullin, Gordon Wetzstein<\/b><br \/>ACM Transactions on Graphics (Proc. SIGGRAPH), 34 (4), 2015.   <a href=\"https:\/\/light.informatik.uni-bonn.de\/doppler-time-of-flight-imaging\/\" title=\"Doppler Time-of-Flight Imaging\"><img width=\"300\" height=\"121\" src=\"https:\/\/light.informatik.uni-bonn.de\/wp-content\/uploads\/2017\/05\/doppler-300.png\" class=\"listthumb wp-post-image\" alt=\"Doppler Time-of-Flight Imaging\" loading=\"lazy\" \/><\/a><p><i>A new computational imaging system that captures metric radial velocity information per pixel -- think of a huge array of traffic speed guns that use light instead of radar.<\/i><\/p><\/div><div class='publist-item'><h4 class=\"lcp_post\"><a href=\"https:\/\/light.informatik.uni-bonn.de\/diffuse-mirrors-3d-reconstruction-from-diffuse-indirect-illumination-using-inexpensive-time-of-flight-sensors\/\">Diffuse Mirrors: 3D Reconstruction from Diffuse Indirect Illumination using Inexpensive Time-of-Flight Sensors<\/a><\/h4><b>Felix Heide, Lei Xiao, Wolfgang Heidrich and Matthias B. Hullin<\/b><br \/>Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2014.   <a href=\"https:\/\/light.informatik.uni-bonn.de\/diffuse-mirrors-3d-reconstruction-from-diffuse-indirect-illumination-using-inexpensive-time-of-flight-sensors\/\" title=\"Diffuse Mirrors: 3D Reconstruction from Diffuse Indirect Illumination using Inexpensive Time-of-Flight Sensors\"><img width=\"300\" height=\"166\" src=\"https:\/\/light.informatik.uni-bonn.de\/wp-content\/uploads\/2017\/05\/setup_render_300.jpg\" class=\"listthumb wp-post-image\" alt=\"Diffuse Mirrors: 3D Reconstruction from Diffuse Indirect Illumination using Inexpensive Time-of-Flight Sensors\" loading=\"lazy\" \/><\/a><p><i>How to look around a corner using echoes of light, using low-end devices that can't even properly measure such data.<\/i><\/p><\/div><div class='publist-item'><h4 class=\"lcp_post\"><a href=\"https:\/\/light.informatik.uni-bonn.de\/low-budget-transient-imaging-using-photonic-mixer-devices\/\">Low-Budget Transient Imaging using Photonic Mixer Devices<\/a><\/h4><b>Felix Heide*, Matthias B. Hullin*, James Gregson, Wolfgang Heidrich (* joint first authors)<\/b><br \/>ACM Transactions on Graphics (Proc. SIGGRAPH), 32 (4), 2013.   <a href=\"https:\/\/light.informatik.uni-bonn.de\/low-budget-transient-imaging-using-photonic-mixer-devices\/\" title=\"Low-Budget Transient Imaging using Photonic Mixer Devices\"><img width=\"300\" height=\"130\" src=\"https:\/\/light.informatik.uni-bonn.de\/wp-content\/uploads\/2017\/05\/transientpmd300.jpg\" class=\"listthumb wp-post-image\" alt=\"Low-Budget Transient Imaging using Photonic Mixer Devices\" loading=\"lazy\" \/><\/a><p><i>A computational method for capturing videos of light in flight using consumer-grade imaging hardware.<\/i><\/p><\/div><div class='publist-item'><h4 class=\"lcp_post\"><a href=\"https:\/\/light.informatik.uni-bonn.de\/dynamic-display-of-brdfs\/\">Dynamic Display of BRDFs<\/a><\/h4><b>Matthias B. Hullin, Hendrik P. A. Lensch, Ramesh Raskar, Hans-Peter Seidel, Ivo Ihrke<\/b><br \/>Computer Graphics Forum (Proc. EUROGRAPHICS), 2011.   <a href=\"https:\/\/light.informatik.uni-bonn.de\/dynamic-display-of-brdfs\/\" title=\"Dynamic Display of BRDFs\"><img width=\"300\" height=\"120\" src=\"https:\/\/light.informatik.uni-bonn.de\/wp-content\/uploads\/2017\/05\/brdfDisplay.png\" class=\"listthumb wp-post-image\" alt=\"Dynamic Display of BRDFs\" loading=\"lazy\" \/><\/a><p><i>We define the problem of physically displaying material appearance, and demonstrate a conceptual device that exhibits precisely controllable reflectance distributions by generating waves on a water surface.<\/i><\/p><\/div><div class='publist-item'><h4 class=\"lcp_post\"><a href=\"https:\/\/light.informatik.uni-bonn.de\/physically-based-real-time-lens-flare-rendering\/\">Physically-Based Real-Time Lens Flare Rendering<\/a><\/h4><b>Matthias B. Hullin, Elmar Eisemann, Hans-Peter Seidel, Sungkil Lee<\/b><br \/>ACM Transactions on Graphics 30 (4) (Proc. SIGGRAPH), 2011.   <a href=\"https:\/\/light.informatik.uni-bonn.de\/physically-based-real-time-lens-flare-rendering\/\" title=\"Physically-Based Real-Time Lens Flare Rendering\"><img width=\"300\" height=\"120\" src=\"https:\/\/light.informatik.uni-bonn.de\/wp-content\/uploads\/2017\/05\/lensflare-300.png\" class=\"listthumb wp-post-image\" alt=\"Physically-Based Real-Time Lens Flare Rendering\" loading=\"lazy\" \/><\/a><p><i>Our take on this popular effect; to our knowledge, the most complete and most efficient model to date.<\/i><\/p><\/div>\r\n<p\/>\r\nPlease also see <a href=\"http:\/\/matthias.hullin.net\">Matthias Hullin&#8217;s private homepage<\/a> for older papers.","protected":false},"excerpt":{"rendered":"<p>Please also see Matthias Hullin&#8217;s private homepage for older papers.<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"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\/10"}],"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=10"}],"version-history":[{"count":17,"href":"https:\/\/light.informatik.uni-bonn.de\/wp-json\/wp\/v2\/pages\/10\/revisions"}],"predecessor-version":[{"id":828,"href":"https:\/\/light.informatik.uni-bonn.de\/wp-json\/wp\/v2\/pages\/10\/revisions\/828"}],"wp:attachment":[{"href":"https:\/\/light.informatik.uni-bonn.de\/wp-json\/wp\/v2\/media?parent=10"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}