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Depth-Based 3D Hand Pose Estimation: From Current Achievements to Future Goals
Shanxin Yuan, Guillermo Garcia-Hernando, Bjorn Stenger +21
In this paper, we strive to answer two questions: What is the current state of 3D hand pose estimation from depth images? And, what are the next challenges that need to be tackled?…
Motion Feature Augmented Recurrent Neural Network for Skeleton-based Dynamic Hand Gesture Recognition
Xinghao Chen, Hengkai Guo, Guijin Wang +1
Dynamic hand gesture recognition has attracted increasing interests because of its importance for human computer interaction. In this paper, we propose a new motion feature augment…
Pose Guided Structured Region Ensemble Network for Cascaded Hand Pose Estimation
Xinghao Chen, Guijin Wang, Hengkai Guo +1
Hand pose estimation from a single depth image is an essential topic in computer vision and human computer interaction. Despite recent advancements in this area promoted by convolu…
Towards Good Practices for Deep 3D Hand Pose Estimation
Hengkai Guo, Guijin Wang, Xinghao Chen +1
3D hand pose estimation from single depth image is an important and challenging problem for human-computer interaction. Recently deep convolutional networks (ConvNet) with sophisti…
Region Ensemble Network: Improving Convolutional Network for Hand Pose Estimation
Hengkai Guo, Guijin Wang, Xinghao Chen +3
Hand pose estimation from monocular depth images is an important and challenging problem for human-computer interaction. Recently deep convolutional networks (ConvNet) with sophist…