Abstract
Stereo matching methods are typically divided into two types: area-based and feature-based methods. Area-based methods apply stereo matching to the entire image and are more widely used. However, since area-based methods calculate the matching points with block units for the whole image, real-time stereo matching of area based methods requires a significant amount of computing time. This paper proposes a line disparity map creation algorithm that can perform real-time stereo matching through GPGPU parallel processing based on OpenCL by improving the performance of the matching process.
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OpenCL: http://www.khronos.org/opencl/
Middlebury: http://vision.middlebury.edu/stereo/
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Park, C. et al. (2011). An Acceleration Method for Generating a Line Disparity Map Based on OpenCL. In: Kim, Th., et al. Multimedia, Computer Graphics and Broadcasting. MulGraB 2011. Communications in Computer and Information Science, vol 262. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-27204-2_19
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DOI: https://doi.org/10.1007/978-3-642-27204-2_19
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-27203-5
Online ISBN: 978-3-642-27204-2
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