Fast rotation-invariant template matching with candidate reduction using CUDA

This paper presents a Ring Projection Transforms (RPT) for recognizing an object in automation system. Based on the Coarse-fine strategy and Compute Unified Device Architecture (CUDA), we developed a recognition model on GPGPU (General-Purpose computing on Graphics Processing Units) scheme. As exper...

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Bibliographic Details
Main Authors: Seung-ho Kim, Sang-hyeob Song, Jong-hak Kim, Zhongyun Yuan, Jun-dong Cho
Format: Conference Proceeding
Language:English
Subjects:
Automation
Consumer electronics
CUDA
GPGPU
Graphics processing units
Industries
Instruction sets
Mathematical model
Recognition
Ring Projection Transforms
RPT
Template Matching
Transforms
Vision
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Description
Summary:This paper presents a Ring Projection Transforms (RPT) for recognizing an object in automation system. Based on the Coarse-fine strategy and Compute Unified Device Architecture (CUDA), we developed a recognition model on GPGPU (General-Purpose computing on Graphics Processing Units) scheme. As experimental validation indicates, our scheme achieved a better performance in terms of processing time compared with the existing method.
ISSN:0747-668X
2159-1423
DOI:10.1109/ISCE.2015.7177792