Real-time object tracking based on scale-invariant features employing bio-inspired hardware S Yasukawa, H Okuno, K Ishii, T Yagi Neural Networks 81, 29-38, 2016 | 23 | 2016 |
Real-time simulation of phosphene images evoked by electrical stimulation of the visual cortex T Fehervari, M Matsuoka, H Okuno, T Yagi Neural Information Processing. Theory and Algorithms: 17th International …, 2010 | 18 | 2010 |
Image sensor system with bio-inspired efficient coding and adaptation H Okuno, T Yagi IEEE transactions on biomedical circuits and systems 6 (4), 375-384, 2012 | 14 | 2012 |
A visually guided collision warning system with a neuromorphic architecture H Okuno, T Yagi Neural Networks 21 (10), 1431-1438, 2008 | 14 | 2008 |
Real-time robot vision for collision avoidance inspired by neuronal circuits of insects H Okuno, T Yagi 2007 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2007 | 14 | 2007 |
A hardware system for emulating the early vision utilizing a silicon retina and SpiNNaker chips T Kawasetsu, R Ishida, T Sanada, H Okuno 2014 IEEE Biomedical Circuits and Systems Conference (BioCAS) Proceedings …, 2014 | 13 | 2014 |
Implementation of visual attention system using artificial retina chip and bottom-up saliency map model B Kim, H Okuno, T Yagi, M Lee Neural Information Processing: 18th International Conference, ICONIP 2011 …, 2011 | 12 | 2011 |
Bio-inspired real-time robot vision for collision avoidance H Okuno, T Yagi Journal of Robotics and Mechatronics 20 (1), 68, 2008 | 10 | 2008 |
Real-time emulator for reproducing graded potentials in vertebrate retina H Okuno, J Hasegawa, T Sanada, T Yagi IEEE transactions on biomedical circuits and systems 9 (2), 284-295, 2014 | 9 | 2014 |
A mixed analog–digital vision sensor for detecting objects approaching on a collision course H Okuno, T Yagi Robotics and Autonomous Systems 57 (5), 508-516, 2009 | 7 | 2009 |
High-speed multiple spatial band-pass filtering using a resistive network S Yasukawa, H Okuno, S Kameda, T Yagi 2013 IEEE International Conference on Mechatronics and Automation, 1299-1304, 2013 | 6 | 2013 |
A vision sensor system with a real-time multi-scale filtering function S Yasukawa, H Okuno, S Kameda, T Yagi International Journal of Mechatronics and Automation 4 (4), 248-258, 2014 | 5 | 2014 |
A robot vision system for collision avoidance using a bio-inspired algorithm H Okuno, T Yagi International Conference on Neural Information Processing, 107-116, 2007 | 5 | 2007 |
Retinal circuit emulator with spatiotemporal spike outputs at millisecond resolution in response to visual events Y Hayashida, Y Kudo, R Ishida, H Okuno, T Yagi IEEE transactions on biomedical circuits and systems 11 (3), 597-611, 2017 | 4 | 2017 |
Detection of scale-invariant key points employing a resistive network S Yasukawa, H Okuno, T Yagi 2012 IEEE/SICE International Symposium on System Integration (SII), 877-882, 2012 | 4 | 2012 |
A neuromorphic system for detecting an approaching object inspired by insect vision H Okuno, T Yagi 2006 SICE-ICASE International Joint Conference, 572-575, 2006 | 4 | 2006 |
FPGA implementation of an algorithm that enables color constancy K Misaka, H Okuno 2020 IEEE/SICE International Symposium on System Integration (SII), 991-995, 2020 | 3 | 2020 |
A retino-morphic hardware system simulating the graded and action potentials in retinal neuronal layers Y Kudo, Y Hayashida, R Ishida, H Okuno, T Yagi Neural Information Processing: 23rd International Conference, ICONIP 2016 …, 2016 | 1 | 2016 |
Live demonstration: A hardware system for emulating the early vision utilizing a silicon retina and SpiNNaker chips T Kawasetsu, R Ishida, T Sanada, H Okuno 2014 IEEE Biomedical Circuits and Systems Conference (BioCAS) Proceedings …, 2014 | 1 | 2014 |
A real-time simulator of a biological visual system composed of a silicon retina and SpiNNaker chips H Okuno, T Kawasetsu, LA Plana, SB Furber, T Yagi Proc. of the International Symposium on Artificial Life and Robotics 2014 …, 2014 | 1 | 2014 |