Paper
5 June 2014 3D reconstruction method based on time-division multiplexing using multiple depth cameras
Author Affiliations +
Abstract
This article proposes a 3D reconstruction method using multiple depth cameras. Since the depth camera acquires the depth information from a single viewpoint, it’s inadequate for 3D reconstruction. In order to solve this problem, we used multiple depth cameras. For 3D scene reconstruction, the depth information is acquired from different viewpoints with multiple depth cameras. However, when using multiple depth cameras, it’s difficult to acquire accurate depth information because of interference among depth cameras. To solve this problem, in this research, we propose Time-division multiplexing method. The depth information was acquired from different cameras sequentially. After acquiring the depth images, we extracted features using Fast Point Feature Histogram (FPFH) descriptor. Then, we performed 3D registration with Sample Consensus Initial Alignment (SAC-IA). We reconstructed 3D human bodies with our system and measured body sizes for evaluating the accuracy of 3D reconstruction.
© (2014) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Ji-Hoon Kang, Dong-Su Lee, Min-Chul Park, and Kwang-Hoon Lee "3D reconstruction method based on time-division multiplexing using multiple depth cameras", Proc. SPIE 9117, Three-Dimensional Imaging, Visualization, and Display 2014, 91170L (5 June 2014); https://doi.org/10.1117/12.2054532
Lens.org Logo
CITATIONS
Cited by 1 scholarly publication.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Cameras

3D modeling

Sensors

3D scanning

Time division multiplexing

Infrared sensors

3D image processing

RELATED CONTENT


Back to Top