We present a novel depth image enhancement approach for RGB-D cameras such as the Kinect. Our approach employs optical flow of color images for refining the quality of corresponding depth images. We track every depth pixel over a sequence of frames …
Beyond other domains, the field of immersive analytics makes use of Augmented Reality techniques to successfully support users in analyzing data. When displaying ubiquitous data integrated into the everyday life, spatial immersion issues like depth …
Exploring and comparing categorical time series and finding temporal patterns are complex tasks in the field of time series data mining. Although different analysis approaches exist, these tasks remain challenging, especially when numerous time …
Recognizing activities has become increasingly relevant in many application domains, such as security or ambient assisted living. To handle different scenarios, the underlying automated algorithms are configured using multiple input parameters. …
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 viewing task experiments on LHRD. We have examined two different …
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 pixels. We introduce a robust 1D least median of squares (1D LMedS) approach …
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 distances, pupil positions and head positions/orientations. With these …