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ISMAR
2007
IEEE
13 years 11 months ago
Accelerating Template-Based Matching on the GPU for AR Applications
Recently researchers have shown that it is possible to use GPU hardware for image processing and computer vision algorithms. We have been exploring how to use GPU hardware to impr...
Yannick Allusse, Raphael Grasset, Mark Billinghurs...
IEEECGIV
2006
IEEE
13 years 11 months ago
Real-Time Tracking with Non-Rigid Geometric Templates Using the GPU
The tracking of features in real-time video streams forms the integral part of many important applications in human-computer interaction and computer vision. Unfortunately trackin...
Julius Fabian Ohmer, Frédéric Maire,...
INTENSIVE
2009
IEEE
13 years 11 months ago
Accelerating K-Means on the Graphics Processor via CUDA
In this paper an optimized k-means implementation on the graphics processing unit (GPU) is presented. NVIDIA’s Compute Unified Device Architecture (CUDA), available from the G8...
Mario Zechner, Michael Granitzer
HIPC
2009
Springer
13 years 2 months ago
Optimizing the use of GPU memory in applications with large data sets
Abstract--With General Purpose programmable GPUs becoming more and more popular, automated tools are needed to bridge the gap between achievable performance from highly parallel ar...
Nadathur Satish, Narayanan Sundaram, Kurt Keutzer
ICIAP
2009
ACM
14 years 5 months ago
Real-Time Online Video Object Silhouette Extraction Using Graph Cuts on the GPU
Abstract. Being able to find the silhouette of an object is a very important front-end processing step for many high-level computer vision techniques, such as Shape-from-Silhouette...
Zachary A. Garrett, Hideo Saito