Video Demystified: A Handbook for the Digital Engineer
Video Demystified: A Handbook for the Digital Engineer
Digital Image Processing
Performance evaluation of programmable graphics hardware for image filtering and stereo matching
Proceedings of the ACM symposium on Virtual reality software and technology
Fast Volume Segmentation With Simultaneous Visualization Using Programmable Graphics Hardware
Proceedings of the 14th IEEE Visualization 2003 (VIS'03)
Immersive Video Teleconferencing with User-Steerable Views
Presence: Teleoperators and Virtual Environments
Spatial sound for video games and virtual environments utilizing real-time GPU-based convolution
Future Play '08 Proceedings of the 2008 Conference on Future Play: Research, Play, Share
Proceedings of the Conference on High Performance Graphics 2009
GPU-based parallel particle swarm optimization
CEC'09 Proceedings of the Eleventh conference on Congress on Evolutionary Computation
Multimedia processing on commodity graphics hardware
ICME'09 Proceedings of the 2009 IEEE international conference on Multimedia and Expo
Image and video processing on CUDA: state of the art and future directions
MACMESE'11 Proceedings of the 13th WSEAS international conference on Mathematical and computational methods in science and engineering
Scientific computing on commodity graphics hardware
CIS'04 Proceedings of the First international conference on Computational and Information Science
High-performance template tracking
Journal of Visual Communication and Image Representation
Hardware-Accelerated template matching
IbPRIA'05 Proceedings of the Second Iberian conference on Pattern Recognition and Image Analysis - Volume Part I
Generalized distance transforms and skeletons in graphics hardware
VISSYM'04 Proceedings of the Sixth Joint Eurographics - IEEE TCVG conference on Visualization
Computer Methods and Programs in Biomedicine
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We present a novel use of commodity graphics hardware to perform real-time image segmentation and image morphology operations. Our preliminary results show a performance increase of over 30% using an nVidia GeForce4 when compared to an implementation using Intel MMX optimized code on a 2.2 Ghz Intel P4 CPU.