When the point cloud has deficit of data, a pose of human body enough to the surface reconstruction has been estimated.Isao MoroShinobu MizutaMichihiko Minoh電子情報通信学会技術研究報告. ヒュ-マン情報処理. Human Information ProcessingMoro I, Mizuta S, Minoh M. Human pose estimation from ...
3. Methods of Point Cloud-Based Joint Estimation 本节主要介绍几种实现人体关节提取的方法。现有的调查已经从RGB或深度图的角度对联合提取技术进行了定性比较。 我们将注意力限制在基于点云的方法上,主要分为基于特征的方法、基于模板的方法和基于机器学习的方法。 每种方法分别在每个部分中讨论。 3.1. Template-...
目前3D 学习中,物体或场景的表示包括显式表示与隐式表示两种,主流的显式表示包括基于 voxel、基于 point cloud、和基于 polygon mesh 三种,隐式表示包括基于 Occupancy Function[1]、和基于 Signed Distance Functions[2]两种。下表简要总结了各种表示方法的原理及其相应优缺点。 1.1 Voxel 表示图像: 表示原理:体素用...
5.3. Datasets for 3D human pose estimation 为了更好地理解3D空间中的人体,有多种不同的现代设备描述人体。3D人体形状扫描,如SCAPE(Anguelov et al. ,2005年)、INRIA4D(INRIA4D,2019年获得)和FAUST(Bogo et al. ,2014年、2017年)、Time of flight(TOF)深度传感器的三维人体表面点云(cloud points)(Shahroudy...
In human pose estimation algorithms, the introduction of point cloud data allows for more accurate geometric information of the human body surface without the need for texture mapping. Point clouds are sparse, which effectively reduces storage and processing costs. However, point clouds also exhibit ...
cv2.circle(image, (int(keypoint[0]), int(keypoint[1])), 3, (0, 255, 0), -1) # 显示结果图像 cv2.imshow("Pose Estimation", image) cv2.waitKey(0) cv2.destroyAllWindows() 请注意,这只是一个简单的示例代码,使用OpenPose库进行人体姿势估计。在运行代码之前,您需要先安装OpenPose库,并将模型...
Fig. 8. Visualization of keypoint detection results from our model on the COCO and MPII datasets. 5. Conclusion In this paper, we proposed DESNet, a real-time human pose estimation model for sports training feedback systems, integrating IoT technology to enhance performance. By incorporating Dyn...
Realistic 3D Human Pose Estimation and Dataset Development AGORA: Avatars in Geography Optimized for Regression Analysis Max Planck Institute for Intelligent Systems, Tubingen, Germany; University of Freiburg; Bosch Center for Artificial Intelligence || Priyanka Patel; Chun-Hao P. Huang; Joachim Tesch;...
几篇论文实现代码:《Human POSEitioning System (HPS): 3D Human Pose Estimation and Self-localization in Large Scenes from Body-Mounted Sensors》(CVPR 2021) GitHub:https:// github.com/aymenmir1/hps ...
Siddiqui, M., Medioni, G.: Human Pose Estimation from a Single View Point, Real-time Range Sensor. In: Computer Vision and Pattern Recognition Workshops, pp. 1–8 (2010) Grest, D., Woetzel, J., Koch, R.: Nonlinear Body Pose Estimation from Depth Images. J. Pattern Recognition 36...