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Two Minute Papers · 发布于 2016年3月20日
This piece of work tries to estimate depth information from an input photogaph. This means that it looks at the photo and tries to tell how far away parts of the image are from the camera, and the final goal is that we provide a photograph for which the depth information is completely unknown and we ask the algorithm to provide it for us. _______________________________ The paper "3-D Depth Reconstruction from a Single Still Image" is available here: http://www.cs.cornell.edu/~asaxena/learningdepth/saxena_ijcv07_learningdepth.pdf The source of the shown video at the end: https://www.youtube.com/watch?v=GWWIn29ZV4Q WE WOULD LIKE TO THANK OUR GENEROUS SUPPORTERS WHO MAKE TWO MINUTE PAPERS POSSIBLE: Sunil Kim, Vinay S. Subscribe if you would like to see more of these! - http://www.youtube.com/subscription_center?add_user=keeroyz The thumbnail image background was created by Willy Verhulst (CC BY 2.0) - https://flic.kr/p/pZj8KD Splash screen/thumbnail design: Felícia Fehér - http://felicia.hu Károly Zsolnai-Fehér's links: Patreon → https://www.patreon.com/TwoMinutePapers Facebook → https://www.facebook.com/TwoMinutePapers/ Twitter → https://twitter.com/karoly_zsolnai Web → https://cg.tuwien.ac.at/~zsolnai/
