Zobrazeno 1 - 10
of 41
pro vyhledávání: '"Injoon Hong"'
Publikováno v:
IEEE Transactions on Circuits and Systems II: Express Briefs. 64:457-461
An energy-efficient speech extraction (SE) processor is proposed for robust user speech recognition (SR) in head-mounted display (HMD) systems. User SE is essential for robust user SR in a noisy environment. For the low-latency SE, the FastSE algorit
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0d1465311b61ae3827a5b1cdee00b33d
https://doi.org/10.1109/tcsii.2016.2571902
https://doi.org/10.1109/tcsii.2016.2571902
Publikováno v:
IEEE Journal of Solid-State Circuits. 51:1032-1040
A CMOS image sensor (CIS)-based gaze estimation processor (GEP) is proposed for the next-generation user interface (UI) of the smart glasses. It integrates a functional CIS, a RISC, and an ellipse fitting engine (EFE) on a single chip to reduce the p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::031646573c293c4c5ab2039a3e73a088
https://doi.org/10.1109/jssc.2015.2504466
https://doi.org/10.1109/jssc.2015.2504466
Publikováno v:
IEEE Transactions on Circuits and Systems I: Regular Papers. 63:359-369
An ultra-low-power object matching processor is proposed for the autonomous micro air vehicle (MAV) navigation systems. For the ultra-low power consumption, it adopts four low-power features: 1) a 4-point scale-invariant generalized Hough transform (
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::51bd161b0a850c68aca52d370a6523e3
https://doi.org/10.1109/tcsi.2016.2515421
https://doi.org/10.1109/tcsi.2016.2515421
Autor:
Youchang Kim, Seong-Wook Park, Dongjoo Shin, Kyuho Jason Lee, Injoon Hong, Kyeongryeol Bong, Hoi-Jun Yoo
Publikováno v:
IEEE Journal of Solid-State Circuits. 51:45-55
A low-power object recognition (OR) system with intuitive gaze user interface (UI) is proposed for battery-powered smart glasses. For low-power gaze UI, we propose a low-power single-chip gaze estimation sensor, called gaze image sensor (GIS). In GIS
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::74d1a25c7bd6ab9ddacbf7e2dcc55a1b
https://doi.org/10.1109/jssc.2015.2476786
https://doi.org/10.1109/jssc.2015.2476786
Publikováno v:
IEEE Journal of Solid-State Circuits. :1-9
An energy-efficient Deep Neural Network (DNN) processor is proposed for high-speed Visual Attention (VA) engine in a mobile vision recognition SoC. The proposed embedded DNN (E-DNN) processor realizes VA to rapidly find Region-Of-Interest (ROI) tiles
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2521bac42d0f729d8a79628a1f87e7c9
https://doi.org/10.1109/jssc.2016.2582864
https://doi.org/10.1109/jssc.2016.2582864
Publikováno v:
IEEE Journal of Solid-State Circuits. 50:2513-2523
A marker-less camera pose estimation engine (CPEE) with reconfigurable logarithmic SIMD processor is proposed for the view angle estimation used in mobile augmented reality (AR) applications. Compared to previous marker-based approach, marker-less ca
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::89c3451d8d4c8cfeb363d882a6c9e851
https://doi.org/10.1109/jssc.2015.2463074
https://doi.org/10.1109/jssc.2015.2463074
Autor:
Kyuho Jason Lee, Seong-Wook Park, Jinwook Oh, Youchang Kim, Kyeongryeol Bong, Dongjoo Shin, Injoon Hong, Sungpill Choi, Hoi-Jun Yoo, Gyeonghoon Kim
Publikováno v:
ISSCC
Augmented reality (AR) is being investigated in advanced displays for the augmentation of images in a real-world environment. Wearable systems, such as head-mounted display (HMD) systems, have attempted to support real-time AR as a next generation UI
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cf5e0052a321efc4a1b63558b261a737
https://doi.org/10.1109/jssc.2014.2352303
https://doi.org/10.1109/jssc.2014.2352303
Publikováno v:
ESSCIRC
A new face detection SoC integrating CIS array with low-power face detector on a single chip in analog-digital mixed-mode is proposed for ultra-low-power mobile device applications such as always-on user authentication. The proposed event-driven mixe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::19057946131285a01e7a65ab1f4c2e6c
https://doi.org/10.1109/esscirc.2017.8094574
https://doi.org/10.1109/esscirc.2017.8094574
Autor:
Hoi-Jun Yoo, Kyeongryeol Bong, Dong-Hyun Kim, Youchang Kim, Injoon Hong, Seong-Wook Park, Gyeonghoon Kim, Kyuho Jason Lee
Publikováno v:
IEEE Micro. 34:31-41
For a markerless augmented reality system that can operate all day, the authors implemented a low-power Basic On-Chip Network-Augmented Reality (BONE-AR) processor to execute object recognition, camera pose estimation, and 3D graphics rendering in re
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f068cb4eb4240e6c85cea161c45f92f9
https://doi.org/10.1109/mm.2014.94
https://doi.org/10.1109/mm.2014.94
Publikováno v:
IEEE Transactions on Circuits and Systems I: Regular Papers. 61:476-484
An intelligent Reinforcement Learning (RL) Network-on-Chip (NoC) is proposed as a communication architecture of a heterogeneous many-core processor for portable HD object recognition. The proposed RL NoC automatically learns bandwidth adjustment and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::40122fc6c214da6a82061ff6c95b23f1
https://doi.org/10.1109/tcsi.2013.2284188
https://doi.org/10.1109/tcsi.2013.2284188