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-3.11
Paper Title MONOCULAR 3D HUMAN POSE ESTIMATION BY MULTIPLE HYPOTHESIS PREDICTION AND JOINT ANGLE SUPERVISION
Authors Aditya Panda, Dipti Prasad Mukherjee, Indian Statistical Institute, India
Session3D-3: Stereoscopic and multiview processing
LocationArea J
Session Time:Wednesday, 22 September, 14:30 - 16:00
Presentation Time:Wednesday, 22 September, 14:30 - 16:00
Presentation Poster
Topic Three-Dimensional Image and Video Processing: Stereoscopic and multiview processing and display
IEEE Xplore Open Preview  Click here to view in IEEE Xplore
Abstract Human pose estimation in 3D from monocular images is a challenging inverse problem due to ambiguity in lifting 2D projection to 3D space. In this article we have made three contributions in order to solve 3D pose estimation. First, a new DNN architecture is proposed to generate multiple feasible 3D pose hypotheses from a given image. Second, we generate weights for the proposed hypotheses using ordinal supervision. These weights are used to predict the final 3D pose from the generated hypotheses. Finally, we report a new regularizer to enforce that the predicted skeleton is consistent with the restriction of anthropomorphic constraints. We compare the results of our algorithm with other state-of-the art approaches on the Human 3.6m benchmark dataset. Our algorithm reports competitive results.