{"id":90,"date":"2017-05-04T18:21:37","date_gmt":"2017-05-04T18:21:37","guid":{"rendered":"http:\/\/localhost:50002\/?page_id=90"},"modified":"2019-09-11T06:45:27","modified_gmt":"2019-09-11T06:45:27","slug":"generalized-imaging","status":"publish","type":"page","link":"https:\/\/light.informatik.uni-bonn.de\/research\/generalized-imaging\/","title":{"rendered":"Generalized Imaging"},"content":{"rendered":"

Super-Resolution Time-Resolved Imaging Using Computational Sensor Fusion<\/a><\/h4>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>
Scientific Reports (Nature Publishing Group) 11, 1689 (2021), https:\/\/doi.org\/10.1038\/s41598-021-81159-x, 2021. \"Super-Resolution<\/a>

<\/i><\/p><\/div>

Low-Cost SPAD Sensing for Non-Line-Of-Sight Tracking, Material Classification and Depth Imaging<\/a><\/h4>Clara Callenberg, Zheng Shi, Felix Heide, Matthias B. Hullin<\/b>
ACM Transactions on Graphics 40 (4), Article 61 (Proc. SIGGRAPH 2021), 2021. \"Low-Cost<\/a>

<\/i><\/p><\/div>

Non-Line-of-Sight Reconstruction using Efficient Transient Rendering<\/a><\/h4>Julian Iseringhausen, Matthias B. Hullin<\/b>
ACM Transactions on Graphics 39 (1), 2020. \"Non-Line-of-Sight<\/a>

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>

Computational Parquetry: Fabricated Style Transfer with Wood Pixels<\/a><\/h4>Julian Iseringhausen, Michael Weinmann, Weizhen Huang, Matthias B. Hullin<\/b>
ACM Transactions on Graphics 39 (2), 2020. \"Computational<\/a>

A new computational woodworking technique enabled by analysis of features found in natural materials.<\/i><\/p><\/div>

Deep Non-Line-of-Sight Reconstruction<\/a><\/h4>Javier Grau Chopite, Matthias B. Hullin, Michael Wand, Julian Iseringhausen<\/b>
Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020. \"Deep<\/a>

The first deep-learning framework for reconstructing object shapes around a corner.<\/i><\/p><\/div>

4D Imaging through Spray-On Optics<\/a><\/h4>Julian Iseringhausen, Bastian Goldl\u00fccke, Nina Pesheva, Stanimir Iliev, Alexander Wender, Martin Fuchs, Matthias B. Hullin<\/b>
ACM Transactions on Graphics 36(4) (Proc. SIGGRAPH), 35:1--35:11, 2017. \"4D<\/a>

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>

Snapshot Difference Imaging using Correlation Time-of-Flight Sensors<\/a><\/h4>Clara Callenberg, Felix Heide, Gordon Wetzstein, Matthias Hullin<\/b>
ACM Transactions on Graphics 36(6) (Proc. SIGGRAPH Asia), 220:1--220:10, 2017. \"Snapshot<\/a>

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>

Doppler Time-of-Flight Imaging<\/a><\/h4>Felix Heide, Wolfgang Heidrich, Matthias B. Hullin, Gordon Wetzstein<\/b>
ACM Transactions on Graphics (Proc. SIGGRAPH), 34 (4), 2015. \"Doppler<\/a>

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>

Low-Budget Transient Imaging using Photonic Mixer Devices<\/a><\/h4>Felix Heide*, Matthias B. Hullin*, James Gregson, Wolfgang Heidrich (* joint first authors)<\/b>
ACM Transactions on Graphics (Proc. SIGGRAPH), 32 (4), 2013. \"Low-Budget<\/a>

A computational method for capturing videos of light in flight using consumer-grade imaging hardware.<\/i><\/p><\/div>","protected":false},"excerpt":{"rendered":"","protected":false},"author":1,"featured_media":0,"parent":68,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":[],"acf":[],"_links":{"self":[{"href":"https:\/\/light.informatik.uni-bonn.de\/wp-json\/wp\/v2\/pages\/90"}],"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=90"}],"version-history":[{"count":3,"href":"https:\/\/light.informatik.uni-bonn.de\/wp-json\/wp\/v2\/pages\/90\/revisions"}],"predecessor-version":[{"id":525,"href":"https:\/\/light.informatik.uni-bonn.de\/wp-json\/wp\/v2\/pages\/90\/revisions\/525"}],"up":[{"embeddable":true,"href":"https:\/\/light.informatik.uni-bonn.de\/wp-json\/wp\/v2\/pages\/68"}],"wp:attachment":[{"href":"https:\/\/light.informatik.uni-bonn.de\/wp-json\/wp\/v2\/media?parent=90"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}