Technical Papers
Surface Reconstruction
Wednesday, 24 July 2:00 PM - 3:30 PM
Session Chair: Richard Zhang, Simon Fraser University
Screened Poisson-Surface Reconstruction
This method improves Poisson-surface reconstruction by explicitly incorporating the input points as interpolation constraints. Several algorithmic improvements reduce the time complexity of the multi-resolution solver to linear.
Michael Kazhdan
The Johns Hopkins University
Hugues Hoppe
Microsoft Research
A Benchmark for Surface Reconstruction
A method for measuring surface reconstruction error in approximating reconstruction algorithms through realistically simulating imperfections of scanned surface data.
Matthew Berger
University of Utah
Joshua A. Levine
Clemson University
Luis Gustavo Nonato
Universidade de São Paulo
Gabriel Taubin
Brown University
Claudio T. Silva
Polytechnic Institute of New York University
Dense Scene Reconstruction With Points of Interest
An approach to detailed reconstruction of complex real-world scenes with a hand-held range camera. The user moves the camera through the environment. A registration and integration pipeline produces a detailed scene model. The results demonstrate that detailed reconstructions of complex scenes can be obtained with a commodity camera.
Qian-Yi Zhou
Stanford University
Vladlen Koltun
Stanford University
Scalable Real-Time Volumetric Surface Reconstruction
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.
Jiawen Chen
Microsoft Research Cambridge
Dennis Bautembach
Microsoft Research Cambridge
Shahram Izadi
Microsoft Research Cambridge