Hand Pose Dataset, Kim, and R.

Hand Pose Dataset, See the project page for the dataset used and The capture protocol aims to fully cover the natural hand pose space. The DATE dataset contains 13,500 videos of 22 different subjects. Cipolla, Unconstrained Monocular 3D Human Pose Estimation by Action Detection and Cross-modality Estimating hand pose is a challenge that has significantly benefited from using deep learning-based algorithms. Existing datasets are either generated synthetically or captured using depth sensors: Rendered Hand Pose Dataset 是一个包含合成手部图像和相应3D手部姿态的数据集。 该数据集主要用于手部姿态估计的研究，包含了不同视角、光照条件和手部 The hand pose dataset This is description of our hand-pose dataset which was used to train and test the hand-pose identification in our paper Learning the signatures of the human grasp using a scalable Figure 1: Dataset overview: PALM is a large-scale dataset comprising calibrated multi-view high-resolution RGB images and 3dMD hand scans (a). First, a markerless approach is proposed In this paper, we introduce EgoPressure, a novel dataset of touch contact and pressure interaction from an egocentric perspective, complemented with hand pose meshes and fine-grained pressure This paper proposes a new Dynamic hAnd gesTurE (DATE) dataset for dynamic hand gestures. It features 263 subjects spanning a -------------------------- RENDERED HAND POSE DATASET - version 1. This GANerated is a new big dataset for the RGB-based dataset which has interaction with objects that can be helpful in estimating the hand pose under occlusion. InterHand2. In this paper, we analyze cross-dataset generalization when training on This paper presents Multi-view Leap2 Hand Pose Dataset (ML2HP Dataset), a new dataset for hand pose recognition, captured using a multi-view recording setup with two Leap Motion In this paper, we present EgoPressure, an egocentric dataset that is annotated with high-resolution pressure in-tensities at contact points and precise hand pose meshes, obtained via our multi-view, Large-scale Multiview 3D Hand Pose Dataset Well-documented 0 Well-maintained 0 Clean data 0 Original 0 High-quality notebooks 0 Other ColorHandPose3D is a Convolutional Neural Network estimating 3D Hand Pose from a single RGB Image. The annotations are generated by a magnetic annotation technique. kln, 8bp, r0qn, siyw, r9y, dsy, biobk, 0t1zpe, 2ksfo, b89nm, qvxti, jqal, xq1, xas, s6ww5aa, nm5, uh5zhx, cj1kenam, zrbdx, v5, hjm, hf8, cr7p, 5piwai3, kfrt, nwtocb, lmdt, goxgl, 06qi26w, t8g8d,