In this paper we introduce a large-scale hand pose dataset, collected using a novel capture
method. Existing datasets are either generated synthetically or captured using depth …

Real-time sensing and modeling of the human body, especially the hands, is an important
research endeavor for various applicative purposes such as in natural human computer …

In this work we study the use of 3D hand poses to recognize first-person dynamic hand
actions interacting with 3D objects. Towards this goal, we collected RGB-D video sequences …

We introduce a simple and effective network architecture for monocular 3D hand pose
estimation consisting of an image encoder followed by a mesh convolutional decoder that is …

This work presents a new approach to learning a frame-based classifier on weakly labelled
sequence data by embedding a CNN within an iterative EM algorithm. This allows the CNN …

Abstract 3D Hand pose estimation has received an increasing amount of attention,
especially since consumer depth cameras came onto the market in 2010. Although …

This paper presents a new large multiview dataset called HUMBI for human body
expressions with natural clothing. The goal of HUMBI is to facilitate modeling view-specific …

We present a cascaded convolutional neural network for 2D hand pose estimation from
single in-the-wild RGB images. Inspired by the commonly used silhouette information in the …

The field of 3D hand pose estimation has been gaining a lot of attention recently, due to its
significance in several applications that require human-computer interaction (HCI). The …

Intel® RealSense™ SR300 is a depth camera capable of providing a VGA-size depth map
at 60 fps and 0.125 mm depth resolution. In addition, it outputs an infrared VGA-resolution …