Proceedings of the Eurographic workshop on Computer animation and simulation
I3D '06 Proceedings of the 2006 symposium on Interactive 3D graphics and games
Pattern Recognition and Machine Learning (Information Science and Statistics)
Pattern Recognition and Machine Learning (Information Science and Statistics)
Percentage-closer soft shadows
SIGGRAPH '05 ACM SIGGRAPH 2005 Sketches
Billboards for Tree Simplification and Real-Time Forest Rendering
PMA '09 Proceedings of the 2009 Plant Growth Modeling, Simulation, Visualization, and Applications
Hand gesture recognition using depth data
FGR' 04 Proceedings of the Sixth IEEE international conference on Automatic face and gesture recognition
Real-time classification of dance gestures from skeleton animation
SCA '11 Proceedings of the 2011 ACM SIGGRAPH/Eurographics Symposium on Computer Animation
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Real-time Realistic Rendering and Lighting of Forests
Computer Graphics Forum
Extreme model simplification for forest rendering
NPH'05 Proceedings of the First Eurographics conference on Natural Phenomena
Multi-layered indirect texturing for tree rendering
NPH'07 Proceedings of the Third Eurographics conference on Natural Phenomena
Rendering forest scenes in real-time
EGSR'04 Proceedings of the Fifteenth Eurographics conference on Rendering Techniques
EGSR'07 Proceedings of the 18th Eurographics conference on Rendering Techniques
Real-time human pose recognition in parts from single depth images
Communications of the ACM
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Real-time somatosensory roaming in large-scale scene is a challenging problem because of great computation for the scene rendering, the real-time posture recognition and the instant response to the user's action. We present a novel somatosensory interactive roaming method in a realistic large-scale forest scene based on Microsoft Kinect. First, we construct a realistic large-scale forest scene based on GPU acceleration. Then for each action of the user, we encode the directions between joints into direction codes, and generate a posture vector which is used to compare with our posture template table to achieve posture recognition. Combining our forest scene with our multi-thread posture recognition, we can somatosensory interactively control roaming direction, velocity, and changes of light and shadow in real-time for the scene with millions of triangles. Our posture recognition algorithm is very fast and can response to the change of the user's posture in time. Experiments demonstrate that our method could successfully roam in the large-scale scene with a natural manner, which provides a feasible solution for the challenging problem.