We address the fundamental challenge of scalability for real-time volumetric surface reconstruction methods. We present a memory-efficient, streamable, hierarchical GPU data structure for 3D reconstruction of large-scale scenes with fine geometric details in real time. The system fuses live depth maps from a moving Kinect camera to generate high-quality 3D models of unbounded size.
Link to video: http://www.youtube.com/watch?v=NsrmniEvO4s
- Jiawen Chen, Dennis Bautembach, and Shahram Izadi, Scalable real-time volumetric surface reconstruction, in ACM Trans. Graph., vol. 32, no. 4, pp. 113:1–113:16, ACM, New York, NY, USA, July 2013.