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Our work is based on (Pramer- dorfer et al., 2019), which shows that utilizing syn- thetic depth data for human pose estimation is feasible but lacks studies on ...
Deep Body-pose Estimation via Synthetic Depth Data: A Case Study. DOI: 10.5220/0008941303180325. In Proceedings of the 15th International Joint Conference on ...
The two indices were derived from measurements of the wing length and the wing formula of birds caught at ringing stations. The indices can be used to analyse ...
Christopher Pramerdorfer, Martin Kampel: Deep Body-pose Estimation via Synthetic Depth Data: A Case Study. VISIGRAPP (5: VISAPP) 2020: 318-325.
We present a detailed empirical analysis with state-of- art or better performance on four academic benchmarks of diverse real-world images. 1. Introduction. The ...
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We proposed an approach for human pose estimation over monocular depth images. We augment the data by sam- pling from existing dataset and generate ...
Three-dimensional (3D) human pose estimation involves estimating the articulated 3D joint locations of a human body from an image or video.
Abstract. This paper describes a method of estimating the pose of a human in bed only from a single depth image. Such estimation is use-.
Nov 25, 2024 · This survey is a valuable resource and a solid reference for researchers in the dynamic landscape of 3D human pose estimation.
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Human Pose Estimation (HPE) is the task that aims to predict the location of human joints from images and videos.