Distributed Volumetric Scene Geometry Reconstruction With a Network of Distributed Smart Cameras

Central to many problems in scene understanding based on using a network of tens, hundreds or even thousands of randomly distributed cameras with on-board processing and wireless communication capability is the ``efficient'' reconstruction of the 3D geometry structure in the scene. What is meant by ``efficient'' reconstruction? In this paper we investigate this from different aspects in the context of visual sensor networks and offer a distributed reconstruction algorithm roughly meeting the following goals: 1. Close to achievable 3D reconstruction accuracy and robustness; 2. Minimization of the processing time by adaptive computing-job distribution among all the cameras in the network and asynchronous parallel processing; 3. Communication Optimization and minimization of the (battery-stored) energy, by reducing and localizing the communications between cameras. A volumetric representation of the scene is reconstructed with a shape from apparent contour algorithm, w...

• Type: Conference
• Year: 2009
• Where: CVPR
• Authors: Shubao Liu, Kongbin Kang, Jean-Philippe Tarel and David B. Cooper
• Keywords: Computer Vision, CVPR 2009, Multiview 3D Reconstruction, Self-configuring Camera Network