Doctoral colloquium - Dana Škorvánková (6.3.2023)

Monday 6.3.2023 at 13:10, Lecture room I/9

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Dana Škorvánková:
Automatic 3D Human Pose Estimation, Skeleton Tracking and Body Measurements

Abstract:
The estimation of human body pose and its measurements is an emerging problem that drives attention in many research areas. An automatic and accurate approach to address the problem is crucial in many fields of computer vision-oriented industry. We target multiple human body analysis-related tasks, including pose estimation, pose tracking, and anthropometric body measurements estimation. Similarly to other research fields, deep learning methods proved to outperform analytical strategies. We also examine various types of visual input data, including three-dimensional point clouds. Since obtaining a large-scale database of real annotated training data is time-consuming and non-effective, we propose to substitute or augment the training process with synthetically generated human body data. We will report preliminary results of our experiments within each of the stated tasks, along with the already published parts of our research.

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