Yinglong Zheng
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Research Interests
Yinglong Zheng has a total of 5 co-authors. Here are the top co-authors by number of shared publications:
- Aihua Mao
School of Computer Science and Engineering, South China University of Technology, Guangzhou, China
1 shared publication - Guiqing Li
South China University of Technology
1 shared publication - Guoqiang Han
School of Computer Science and Engineering, South China University of Technology, Guangzhou 510006, China
1 shared publication - Hong Zhang
School of Computer Science & Engineering, South China University of Technology, Guangzhou 510006, China
1 shared publication - Yu-Xin Liu
School of Computer Science & Engineering, South China University of Technology, Guangzhou 510006, China
1 shared publication
Latest Publications
- Open Access
Easy and Fast Reconstruction of a 3D Avatar with an RGB-D Sensor
This paper proposes a new easy and fast 3D avatar reconstruction method using an RGB-D sensor. Users can easily implement human body scanning and modeling just with a personal computer and a single RGB-D sensor such as a Microsoft Kinect within a small workspace in their home or office. To make the reconstruction of 3D avatars easy and fast, a new data capture strategy is proposed for efficient human body scanning, which captures only 18 frames from six views with a close scanning distance to fully cover the body; meanwhile, efficient alignment algorithms are presented to locally align the data frames in the single view and then globally align them in multi-views based on pairwise correspondence. In this method, we do not adopt shape priors or subdivision tools to synthesize the model, which helps to reduce modeling complexity. Experimental results indicate that this method can obtain accurate reconstructed 3D avatar models, and the running performance is faster than that of similar work. This research offers a useful tool for the manufacturers to quickly and economically create 3D avatars for products design, entertainment and online shopping.
Open AccessEasy and Fast Reconstruction of a 3D Avatar with an RGB-D Sensor
This paper proposes a new easy and fast 3D avatar reconstruction method using an RGB-D sensor. Users can easily implement human body scanning and modeling just with a personal computer and a single RGB-D sensor such as a Microsoft Kinect within a small workspace in their home or office. To make the reconstruction of 3D avatars easy and fast, a new data capture strategy is proposed for efficient human body scanning, which captures only 18 frames from six views with a close scanning distance to fully cover the body; meanwhile, efficient alignment algorithms are presented to locally align the data frames in the single view and then globally align them in multi-views based on pairwise correspondence. In this method, we do not adopt shape priors or subdivision tools to synthesize the model, which helps to reduce modeling complexity. Experimental results indicate that this method can obtain accurate reconstructed 3D avatar models, and the running performance is faster than that of similar work. This research offers a useful tool for the manufacturers to quickly and economically create 3D avatars for products design, entertainment and online shopping.