Efficient Integral Image Computation on the GPU

Efficient Integral Image Computation on the GPU

We present an integral image algorithm that can run in real-time on a Graphics Processing Unit (GPU). Our system exploits the parallelisms in computation via the NIVIDA CUDA programming model, which is a software platform for solving non-graphics problems in a massively parallel high-performance fas...

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Bibliographic Details
Main Authors: Bilgic, Berkin, Horn, Berthold Klaus Paul, Masaki, Ichiro
Other Authors: Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Format: Article
Language:en_US
Published: Institute of Electrical and Electronics Engineers (IEEE) 2012
Online Access:http://hdl.handle.net/1721.1/71883
https://orcid.org/0000-0003-3434-391X
https://orcid.org/0000-0002-6657-5646

Internet

http://hdl.handle.net/1721.1/71883
https://orcid.org/0000-0003-3434-391X
https://orcid.org/0000-0002-6657-5646

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