TY - GEN
T1 - Real-Time Corner Detection on Mobile Platforms Using Cuda
AU - Chahuara, Hector
AU - Rodriguez, Paul
N1 - Publisher Copyright:
© 2018 IEEE.
PY - 2018/11/6
Y1 - 2018/11/6
N2 - Corner detection is a widespread task in many high-end applications such as autonomous driving systems and augmented reality. However, corner detection algorithms are computationally expensive and thus are not suitable for real-time applications on mobile devices. The Tegra device series, which incorporates Graphics Processing Units (GPUs), is aimed at mobile computing and accelerates computations for mobile applications. In this paper, a GPU realization of a color-adapted Harris corner detector with high-level extensions is proposed and tested in Tegra-based platforms Jetson TK1, TX1 and TX2. The proposed realization achieves good detection quality, real-time processing for grayscale and color images up to full HD resolution (1080p) in all platforms and frame rates of 14.02 ∼ 18.71, 27.76 ∼ 39.44 and 34.82 ∼ 51.32 for images of resolution 4K UHD (2160p) in Jetson TK1, TX1 and TX2 respectively.
AB - Corner detection is a widespread task in many high-end applications such as autonomous driving systems and augmented reality. However, corner detection algorithms are computationally expensive and thus are not suitable for real-time applications on mobile devices. The Tegra device series, which incorporates Graphics Processing Units (GPUs), is aimed at mobile computing and accelerates computations for mobile applications. In this paper, a GPU realization of a color-adapted Harris corner detector with high-level extensions is proposed and tested in Tegra-based platforms Jetson TK1, TX1 and TX2. The proposed realization achieves good detection quality, real-time processing for grayscale and color images up to full HD resolution (1080p) in all platforms and frame rates of 14.02 ∼ 18.71, 27.76 ∼ 39.44 and 34.82 ∼ 51.32 for images of resolution 4K UHD (2160p) in Jetson TK1, TX1 and TX2 respectively.
KW - CUDA
KW - Corner detection
KW - mobile platforms
UR - http://www.scopus.com/inward/record.url?scp=85058031635&partnerID=8YFLogxK
U2 - 10.1109/INTERCON.2018.8526418
DO - 10.1109/INTERCON.2018.8526418
M3 - Conference contribution
AN - SCOPUS:85058031635
T3 - Proceedings of the 2018 IEEE 25th International Conference on Electronics, Electrical Engineering and Computing, INTERCON 2018
BT - Proceedings of the 2018 IEEE 25th International Conference on Electronics, Electrical Engineering and Computing, INTERCON 2018
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 25th IEEE International Conference on Electronics, Electrical Engineering and Computing, INTERCON 2018
Y2 - 8 August 2018 through 10 August 2018
ER -