- 期刊
- OpenAccess
A Novel Method To Collect Kinect-Comparable RGB-D Outdoor Image
並列摘要
A RGB-D based visual computing research has received increasing attention among researchers, such as pose estimation, segmentation, people detection, object labelling, and so on. However, almost all the existed RGB-D based researches are using indoor RGB-D datasets. The main reason is that there's no available sensors for collecting outdoor RGB-D images. In this paper, we combine a ToF camera with a RGB camera and solve the image registration problem based on thepin-hole camera model. The initial experiments show that our method can perform as well as Kinect indoors but surpass Kinect outdoors.
延伸閱讀
- 鄭惟浩（2014）。Real-time Reconstruction of 3D Objects Using a Single Kinect〔碩士論文，國立臺灣大學〕。華藝線上圖書館。https://doi.org/10.6342/NTU.2014.02886
- Shen, Y. J. (2015). Extending Structured-light RGB-D Cameras in Outdoor Scenes via Cross-spectral Stereo [master's thesis, National Taiwan University]. Airiti Library. https://doi.org/10.6342/NTU201601331
- Santoso, P. S. (2016). Learning-based Pedestrian Detection Applied to RGB-D Images [master's thesis, National Chiao Tung University]. Airiti Library. https://www.airitilibrary.com/Article/Detail?DocID=U0030-0803201714413901
- 林恩宇（2015）。Detection and Restoration of the Depth Image from Kinect Sensors〔碩士論文，逢甲大學〕。華藝線上圖書館。https://doi.org/10.6341/fcu.M0293219
- 陳冠諭（2016）。3D Image Composition using Kinect System〔碩士論文，國立交通大學〕。華藝線上圖書館。https://www.airitilibrary.com/Article/Detail?DocID=U0030-0803201714323814