Paper accepted at the European Conf. on Computer Vision (ECCV), Munich, Semi-Dense 3D Reconstruction with a Stereo Event Camera Yi Zhou1,2 , Guillermo Gallego3 , Henri Rebecq3 , Laurent Kneip4 , Hongdong Li1,2 , a

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Date: 2018-08-04 04:56:25 Computer vision Stereophotogrammetry 3D imaging Artificial intelligence Image processing Robotic sensing 3D reconstruction Range imaging Stereoscopy Triangulation Stereophonic sound Visual odometry		Paper accepted at the European Conf. on Computer Vision (ECCV), Munich, Semi-Dense 3D Reconstruction with a Stereo Event Camera Yi Zhou1,2 , Guillermo Gallego3 , Henri Rebecq3 , Laurent Kneip4 , Hongdong Li1,2 , a Add to Reading List Source URL: rpg.ifi.uzh.ch Download Document from Source Website File Size: 1,76 MB Share Document on Facebook

	Paper accepted at the European Conf. on Computer Vision (ECCV), Munich, Semi-Dense 3D Reconstruction with a Stereo Event Camera Yi Zhou1,2 , Guillermo Gallego3 , Henri Rebecq3 , Laurent Kneip4 , Hongdong Li1,2 , a DocID: 1xU8u - View Document
	Diffuse Mirrors: 3D Reconstruction from Diffuse Indirect Illumination Using Inexpensive Time-of-Flight Sensors Felix Heide1 Lei Xiao1 DocID: 1v6FW - View Document
	3D-Reconstruction of Basal Cell Carcinoma Patrick Scheibe1 , Ulf-Dietrich Braumann2 , Jens-Peer Kuskad, Markus L¨offler3 , Jan C. Simon4 , Uwe Paasch4 , and Tino Wetzig4 1 2 DocID: 1v6Eb - View Document
	Abstract: Visual tracking is one of the fundamental problems in computer vision. Its numerous applications include robotics, autonomous driving, augmented reality and 3D reconstruction. In essence, visual tracking can DocID: 1uug9 - View Document
	Year of CfP: 2009 Project NoProject title: Reconstruction of 3D geometric model of plant from laser scanner data (PlantScan3D) Unit managing the project: AGAP (Genetic improvement and Plant adaptation) (CIRAD, DocID: 1uhA8 - View Document