Low-Cost Depth Camera Pose Tracking for Mobile Platforms

The KinectFusion algorithm is now used routinely to reconstruct dense 3D surfaces at real-time frame rates using a commodity depth camera. To achieve robust pose estimation, the method conducts the frame-to-model tracking during camera tracking that must inevitably accompany the memory-bound, GPU-as...

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Vydané v:	2016 IEEE International Symposium on Mixed and Augmented Reality (ISMAR-Adjunct) s. 123 - 126
Hlavní autori:	Insung Ihm, Youngwook Kim, Jaehyun Lee, Jiman Jeong, Ingu Park
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 01.09.2016
Predmet:	Cameras Computational modeling I.3.3 [Computer Graphics]: Picture/Image Generation-Digitizing and Scanning; I.4.8 [Image Processing and Computer Vision]: Scene Analysis-Tracking H.5.1 [Information Interfaces and Presentation]: Multimedia Information Systems-Artificial Iterative closest point algorithm Mobile communication Pose estimation Solid modeling Three-dimensional displays
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