鈥擳he use of 3D Human Pose Estimation (HPE) has become increasingly popular in the field of computer vision due to its various applications in human-computer interaction, animation, surveillance, virtual reality, video interpretation, and gesture recognition. However, ...
收集并标注了包括3名受试者在内的近700个深度数据,其中345个深度数据作为训练集,其余数据作为测试集。 EVAL 数据集建于 2012 年 (Real-Time Human Pose Tracking from Range Data) [89],其中包括三个不同主题的 24 个动作序列。 每个受试者在距离 Kinect 相机约 3 m 的地方执行逐渐增加复杂性的动作。 使用...
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 ...
[5] X. Chen, H. Ma, J. Wan, B. Li, and T. Xia. Multi-view 3d object detection network for autonomous driving. In IEEE CVPR, 2017. 1, 2, 3, 4, 5, 6, 7, 8 [6] C. Choi, Y . Taguchi, O. Tuzel, M. Y . Liu, and S. Ramalingam. V oting-based pose estimation for...
Cloud-based student data chatbot with a human interface. Bus Ticketing System that operates in the cloud. Using the Cloud for Android Offloading. Q2: What are examples of cloud computing? Ans. Examples of Cloud Computing Salesforce is a software-as-a-service (Saas) company. ...
In this work, we address the problem of recovering the 3D full-body human pose from depth images. A graph-based representation of the 3D point cloud data is determined which allows for the measurement of pose-independent geodesic distances on the surface of the human body. We extend previous...
A human-robot interaction interface for mobile and stationary robots based on real-time 3D human body and hand-finger pose estimation This paper presents a real-time gesture-based human-robot interaction (HRI) interface for mobile and stationary robots. A human detection approach is used ... K...
Score-Based Point Cloud Denoising [denoising] Probabilistic Monocular 3D Human Pose Estimation with Normalizing Flows [monocular, pose; Github] A Technical Survey and Evaluation of Traditional Point Cloud Clustering Methods for LiDAR Panoptic Segmentation [seg; Github] The Devil is in the Task: Exploit...
[CVPR] Sequential 3D Human Pose and Shape Estimation From Point Clouds. [Pose] [CVPR] An Efficient PointLSTM for Point Clouds Based Gesture Recognition. [Recognition] [CVPR] Grid-GCN for Fast and Scalable Point Cloud Learning. [other] [CVPR] SpSequenceNet: Semantic Segmentation Network on 4D...
27. Sequential 3D Human Pose and Shape Estimation From Point Clouds 会议:CVPR 2020. 作者:Kangkan Wang, Jin Xie, Guofeng Zhang, Lei Liu, Jian Yang 链接:https://openaccess.thecvf.com/content_CVPR_2020/papers/Wang_Sequential_3D_Human_Pose_and_Shape_Estimation_From_Point_Clouds_CVPR_2020_paper...