4 research outputs found
3D visual analysis of seabed on smartphone
We create a 'virtual-seabed' platform to realize the 3D visual analysis of
seabed on smartphone. The 3D seabed platform is based on a 'section-drilling'
model, implementing visualization and analysis of the integrated data of seabed
on the 3D browser on smartphone. Some 3D visual analysis functions are
developed. This work presents a thorough and interesting way of presenting
seabed data on smartphone, which raises many application possibilities. This
platform is another practical proof based on our WebVRGIS platform.Comment: 2015 IEEE Pacific Visualization Symposium (PacificVis
Preprint Imagining In-Air Interaction for Hemiplegia Sufferer
This is the preprint version of our paper on 2015 International Conference on
Virtual Rehabilitation (ICVR2015). In this paper, we described the imagination
scenarios of a touch-less interaction technology for hemiplegia, which can
support either hand or foot interaction with the smartphone or head mounted
device (HMD). The computer vision interaction technology is implemented in our
previous work, which provides a core support for gesture interaction by
accurately detecting and tracking the hand or foot gesture. The patients
interact with the application using hand/foot gesture motion in the camera
view.Comment: This is the preprint version of our paper on 2015 International
Conference on Virtual Rehabilitation (ICVR2015
Preprint Big City 3D Visual Analysis
This is the preprint version of our paper on EUROGRAPHICS 2015. A big city
visual analysis platform based on Web Virtual Reality Geographical Information
System (WEBVRGIS) is presented. Extensive model editing functions and spatial
analysis functions are available, including terrain analysis, spatial analysis,
sunlight analysis, traffic analysis, population analysis and community
analysis.Comment: This is the preprint version of our paper on EUROGRAPHICS 201
Preprint Traffic Management and Forecasting System Based on 3D GIS
This is the preprint version of our paper on 2015 15th IEEE/ACM International
Symposium on Cluster, Cloud and Grid Computing (CCGrid). This paper takes
Shenzhen Futian comprehensive transportation junction as the case, and makes
use of continuous multiple real-time dynamic traffic information to carry out
monitoring and analysis on spatial and temporal distribution of passenger flow
under different means of transportation and service capacity of junction from
multi-dimensional space-time perspectives such as different period and special
period. Virtual reality geographic information system is employed to present
the forecasting result.Comment: This is the preprint version of our paper on 2015 15th IEEE/ACM
International Symposium on Cluster, Cloud and Grid Computing (CCGrid). arXiv
admin note: substantial text overlap with arXiv:1504.0105