High Precision GPU based Integral Images for Moment Invariant Image Processing Systems
نویسنده
چکیده
This paper presents a new high precision integral image algorithm that can execute in real-time on a commodity graphics processing unit (GPU). This system makes use of the general processing GPU (GPGPU) paradigm via a stream computing abstraction. The stream computing language used is Brook which allows portability across GPGPUs from multiple manufacturers. The paper analyses the high precision algorithms performance characteristics across a range of image sizes and stream models. The analysis shows that multiple stream models are not effective on real GPU implementations of integral image algorithms although CPU simulation points to potential performance benefits.
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