2021 IEEE International Conference on Image Processing

19-22 September 2021 • Anchorage, Alaska, USA

Imaging Without Borders

2021 IEEE International Conference on Image Processing

19-22 September 2021 • Anchorage, Alaska, USA

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Paper Detail

Paper ID3D-1.8
Paper Title RGB-D FUSION FOR POINT-CLOUD-BASED 3D HUMAN POSE ESTIMATION
Authors Jiaming Ying, Xu Zhao, Shanghai Jiao Tong University, China
Session3D-1: Point Cloud Processing 1
LocationArea J
Session Time:Tuesday, 21 September, 15:30 - 17:00
Presentation Time:Tuesday, 21 September, 15:30 - 17:00
Presentation Poster
Topic Three-Dimensional Image and Video Processing: Point cloud processing
IEEE Xplore Open Preview  Click here to view in IEEE Xplore
Abstract 3D human pose estimation is an important and challenging task in computer vision. In this paper, we propose a method to estimate 3D human pose from RGB-D images. We adopt a 2D pose estimator to extract color features from the RGB image. The color features are integrated with the depth image in the form of point cloud. To fully exploit geometric information, we design a 3D learning module to extract point-wise features. To take advantage of local information as well as facilitate the convergence of the model, we design a dense prediction module. It estimates the offset vectors and closeness scores from points to target keypoints. The point-wise estimations are weighted and summed up to a final 3D pose. Experimental results show that our method achieves state-of-the-art performance on MHAD and SURREAL datasets.