We survey the state of the art of spatial interfaces for 3D visualization. Interaction techniques
are crucial to data visualization processes and the visualization research community has …

Interacting with virtual objects with haptic feedback directly using the user's hand (hand-
based haptic interaction) has attracted increasing attention. Due to the high degrees of …

We propose a method for annotating images of a hand manipulating an object with the 3D
poses of both the hand and the object, together with a dataset created using this method …

We address the highly challenging problem of real-time 3D hand tracking based on a
monocular RGB-only sequence. Our tracking method combines a convolutional neural …

Compared with depth-based 3D hand pose estimation, it is more challenging to infer 3D
hand pose from monocular RGB images, due to substantial depth ambiguity and the …

We present a novel method for real-time continuous pose recovery of markerless complex
articulable objects from a single depth image. Our method consists of the following stages: a …

In this paper, we propose a novel deep learning framework to reconstruct 3D hand poses
and shapes of two interacting hands from a single color image. Previous methods designed …

We present an approach for real-time, robust, and accurate hand pose estimation from
moving egocentric RGB-D cameras in cluttered real environments. Existing methods …

In this paper, we present a HAnd Mesh Recovery (HAMR) framework to tackle the problem
of reconstructing the full 3D mesh of a human hand from a single RGB image. In contrast to …

We present a new real-time hand tracking system based on a single depth camera. The
system can accurately reconstruct complex hand poses across a variety of subjects. It also …