Paper-Conference

Learning Eye Movements Strategies on Tiled Large High-Resolution Displays Using Inverse Reinforcement Learning

In this paper, we modeled eye movements on tiled Large High-Resolution Displays (LHRD) as a Markov decision process(MDP). We collected eye movements of users participated with free …

r.-a.-a.-mohammed

Mobile 3D Gaze Tracking Calibration

We present a new calibration method to combine a mobile eye tracker with an external tracking system to obtain a 3D gaze vector. Our method captures calibration points of varying …

christian-scheel

Depth Image Enhancement Using 1D Least Median of Squares

We propose a new method to enhance the depth images from RGB-D sensors, such as Kinects, by filling the missing/invalid values which are reported by those sensors at certain …

abm-tariqul-islam

Robust Enhancement of Depth Images from Kinect Sensor

We propose a new method to fill missing or invalid values in depth images generated from the Kinect depth sensor. To fill the missing depth values, we use a robust least median of …

a.-b.-m.-t.-islam

Dynamic Level of Detail for Tiled Large High-Resolution Displays

christian-scheel

Calibration of Depth Camera Arrays

Depth cameras are increasingly used for tasks such as 3-D reconstruction, user pose estimation, and human- computer interaction. Depth-camera systems comprising multiple depth …

razmik-avetisyan

A Proof-of-Concept Study on the Impact of Artificial Hypergravity on Force-Adapted Target Sizing for Direct Augmented Reality Pointing

The performance of Augmented Reality (AR) direct object selection coded outside of the human egocentric body frame of reference is decreased under short-term altered gravity. …

daniela-markov-vetter

Underwater Reconstruction Using Depth Sensors

alexandru-dancu