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Region ensemble network: Improving convolutional network for hand pose estimation
Hand pose estimation from monocular depth images is an important and challenging
problem for human-computer interaction. Recently deep convolutional networks (ConvNet) …
problem for human-computer interaction. Recently deep convolutional networks (ConvNet) …
Region ensemble network: Towards good practices for deep 3D hand pose estimation
Abstract 3D hand pose estimation is an important and challenging problem for human-
computer interaction. Recently convolutional networks (ConvNet) with sophisticated design …
computer interaction. Recently convolutional networks (ConvNet) with sophisticated design …
Towards good practices for deep 3d hand pose estimation
3D hand pose estimation from single depth image is an important and challenging problem
for human-computer interaction. Recently deep convolutional networks (ConvNet) with …
for human-computer interaction. Recently deep convolutional networks (ConvNet) with …
Bi-stream pose-guided region ensemble network for fingertip localization from stereo images
In human-computer interaction, it is important to accurately estimate the hand pose,
especially fingertips. However, traditional approaches to fingertip localization mainly rely on …
especially fingertips. However, traditional approaches to fingertip localization mainly rely on …
[PDF][PDF] Bi-stream Region Ensemble Network: Promoting Accuracy in Fingertip Localization from Stereo Images.
Accurate fingertip localization is an important and challenging problem in Human Computer
Interaction (HCI). Previous research on hand pose estimation are mainly based on depth …
Interaction (HCI). Previous research on hand pose estimation are mainly based on depth …
Two-stream binocular network: Accurate near field finger detection based on binocular images
Fingertip detection plays an important role in human computer interaction. Previous works
transform binocular images into depth images. Then depth-based hand pose estimation …
transform binocular images into depth images. Then depth-based hand pose estimation …