1 |
[Internet] Microsoft Kinect v3 https://azure.microsoft.com/ko-kr/services/kinect-dk/
|
2 |
D. Mehta, S. Sridhar, O. Sotnychenko, H. Rhodin,M. Shafiei, H.-P. Seidel, W. Xu, D. Casas, and C. Theobalt, "Vnect: Real-time 3d human pose estimation with a singlergb camera", In ACM Transactions on Graphics, volume 36, 2017.
|
3 |
Zhe Cao, Gines Hidalgo, Tomas Simon, Shih-En Wei, and Yaser Sheikh, "OpenPose: realtime multi-person 3D poseestimation using Part Affinity Fields", In arXiv preprintarXiv:1812.08008, 2018.
|
4 |
R. A. Guler, N. Neverova, and I. Kokkinos. Densepose: Dense human pose estimation in the wild. In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018.
|
5 |
Bruno Artacho, Andreas Savakis, "UniPose: Unified Human Pose Estimation in Single Images and Videos" Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2020, pp. 7035-7044
|
6 |
Moon, Gyeongsik, Ju Yong Chang, and Kyoung Mu Lee. "V2v-posenet: Voxel-to-voxel prediction network for accurate 3d hand and human pose estimation from a single depth map." Proceedings of the IEEE conference on computer vision and pattern Recognition. 2018.
|
7 |
Sun, X., Xiao, B., Liang, S., Wei, Y.: Integral human pose regression. arXiv preprint arXiv:1711.08229 (2017)
|
8 |
[Internet] ASUS Xtion PRO LIVe https://www.asus.com/kr/3DSensor/Xtion_PRO_LIVE/
|
9 |
[Internet] ASUS Xtion2 https://www.asus.com/kr/3D-Sensor/Xtion-2/
|
10 |
[Internet] LEAP Motion https://developer.leapmotion.com/#101
|
11 |
[Internet] "Instructions"http://marcojrfurtado.github.io/KinectAnimationStudio/usage.html
|
12 |
[Internet] "Avateering with kinect v2 - Joint Orientations" https://peted.azurewebsites.net/avateering-with-kinect-v2-joint-orientations/
|
13 |
[Internet] "OpenMMD" https://github.com/peterljq/OpenMMD
|
14 |
Sang-Joon Kim, "Design and Implementation of Authoring Tool for Dynamic Projection Mapping Content," Degree thesis (Bachelor's degree), Seoul Media Graduate School: New Media Studies Department 2019.2
|
15 |
J. Martinez, R. Hossain, J. Romero, and J. J. Little. A simple yet effective baseline for 3d human pose estimation. In IEEE International Conference on Computer Vision, ICCV, 2017.
|
16 |
Iro Laina, Christian Rupprecht, Vasileios Belagiannis, Federico Tombari, and Nassir Navab. Deeper depth prediction with fully convolutional residual networks. In 3D Vision (3DV), 2016 Fourth International Conference on, pages 239-248. IEEE, 2016.
|
17 |
Jun hee Kim, Sae-Woung Yoo and Kyung-Won Min, Microsoft Kinect-based Indoor Building Information Model Acquisition., Computational Structural Engineering Institute of Korea 31(4), 207-214.
|
18 |
A. Toshev and C. Szegedy. Deeppose: Human pose estimation via deep neural networks. In Computer Vision and Pattern Recognition (CVPR), 2014 IEEE Conference on, pages1653-1660. IEEE, 2014.
|
19 |
[Internet] MPII Human Pose http://human-pose.mpi-inf.mpg.de/
|
20 |
[Internet] "Brekel Body v2" https://brekel.com/brekel-pro-body-v2/
|
21 |
[Internet] Human3.6M http://vision.imar.ro/human3.6m/description.php
|
22 |
[Internet] AI Challenger http://dataju.cn/Dataju/web/datasetInstanceDetail/440
|
23 |
Alexander Toshev, Christian Szegedy "DeepPose: Human Pose Estimation via Deep Neural Networks" arXiv preprint arXiv: 1312.4659, 2013
|
24 |
[Internet] Leeds Sports Pose(LSP) https://sam.johnson.io/research/lsp.html
|
25 |
[Internet] MS COCO https://cocodataset.org/#home
|
26 |
J. heon jeong, S. joon kim, M. suk Yoon and G. man Park "Body Segment Length and Joint Motion Range Restriction for Joint Errors Correction in FBX Type Motion Capture Animation based on Kinect Camera ", JBE Vol. 25, No. 3, May 2020
|
27 |
[Internet] CMU Panoptic http://domedb.perception.cs.cmu.edu/
|
28 |
S.-E. Wei, V. Ramakrishna, T. Kanade, and Y. Sheikh. Convolutional pose machines. In CVPR, 2016
|
29 |
Jiefeng Li, Can Wang, Hao Zhu, Yihuan Mao, Hao-Shu Fang, and Cewu Lu. Crowdpose: Efficient crowded scenes pose estimation and a new benchmark. arXiv preprint arXiv:1812.00324, 2018
|