02554oam 2200457zu 450 991014106720332120241212220147.09781457721854145772185697814577218471457721848(CKB)2670000000131685(SSID)ssj0000669988(PQKBManifestationID)12276044(PQKBTitleCode)TC0000669988(PQKBWorkID)10715839(PQKB)11325784(NjHacI)992670000000131685(EXLCZ)99267000000013168520160829d2011 uy engur|||||||||||txtccr2011 IEEE International Symposium on Mixed and Augmented Reality[Place of publication not identified]IEEE20111 online resourceBibliographic Level Mode of Issuance: Monograph9781457721830 145772183X We present a system for accurate real-time mapping of complex and arbitrary indoor scenes in variable lighting conditions, using only a moving low-cost depth camera and commodity graphics hardware. We fuse all of the depth data streamed from a Kinect sensor into a single global implicit surface model of the observed scene in real-time. The current sensor pose is simultaneously obtained by tracking the live depth frame relative to the global model using a coarse-to-fine iterative closest point (ICP) algorithm, which uses all of the observed depth data available. We demonstrate the advantages of tracking against the growing full surface model compared with frame-to-frame tracking, obtaining tracking and mapping results in constant time within room sized scenes with limited drift and high accuracy. We also show both qualitative and quantitative results relating to various aspects of our tracking and mapping system. Modelling of natural scenes, in real-time with only commodity sensor and GPU hardware, promises an exciting step forward in augmented reality (AR), in particular, it allows dense surfaces to be reconstructed in real-time, with a level of detail and robustness beyond any solution yet presented using passive computer vision.Augmented realityCongressesAugmented reality006.8IEEE StaffPQKBPROCEEDING99101410672033212011 IEEE International Symposium on Mixed and Augmented Reality2308208UNINA