Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Ilia Ovsiannikov"'
Publikováno v:
Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging
Super resolution (SR) is to produce a higher resolution image from one or a sequence of low resolution images of a scene. It is essential in medical image analysis as a zooming of a specific area of interest is often required. This paper presents a n
Autor:
Kyoobin Lee, Jooyeon Woo, Chang-Woo Shin, Bongki Son, Junseok Kim, Lee Hyunku, Jung Hee-Jae, Keunju Park, Park Jin-Man, Yohan Roh, Yibing Wang, Yunjae Suh, Sungho Kim, Hyunsurk Ryu, Ilia Ovsiannikov
Publikováno v:
ISSCC
We report a VGA dynamic vision sensor (DVS) with a 9µm pixel, developed through a digital as well as an analog implementation. DVS systems in the literature try to increase spatial resolution up to QVGA [1–2] and data rates up to 50 million events
Autor:
Ilia Ovsiannikov, Yoon-dong Park, Young-Gu Jin, Seung-Hoon Lee, Tae-Yon Lee, Jung-kyu Jung, Eric R. Fossum, Dong-ki Min, Yong-jei Lee, Wang-Hyun Kim
Publikováno v:
IEEE Transactions on Electron Devices. 61:870-877
In this paper, we develop pixels with concentric-photogates for applications in time-of-flight 3-D image sensors with single-tap architecture. The pixel uses a buried-channel device and features a reduced effective electron transit length, for the ra
Autor:
Lilong Shi, Ilia Ovsiannikov, Dong-Ki Min, Wonjoo Kim, Yibing Michelle Wang, Grzegorz Waligorski, Hongyu Wang, Yoondong Park, Chilhee Chung
Publikováno v:
Color and Imaging Conference. 21:108-113
Publikováno v:
SPIE Proceedings.
In this paper, we develop a server-client quantization scheme to reduce bit resolution of deep learning architecture, i.e., Convolutional Neural Networks, for image recognition tasks. Low bit resolution is an important factor in bringing the deep lea
Publikováno v:
International Journal of Human-Computer Studies. 50:329-362
Annotation Technology is a systematized set of recommendations for design of successful advanced annotation software covering the architectural, functional and user-interface aspects. It is grounded in a careful examination of 17 existing systems acc
Publikováno v:
ICCE-Berlin
In time-of-flight 3D application, sensors detect modulated light responses for depth calculation. To measure the distance, time-of-flight camera needs 4 phases. Typical method needs to 4 frames to obtain 4 phases which has motion blur, low frame rate
Autor:
Sunhwa Jung, Joon-Ho Lee, Hyekyung Jung, Yohwan Noh, Chilhee Chung, Gregory Waligorski, Deokha Shin, Wang-Hyun Kim, Lawrence Kim, Dong-ki Min, Yoon-dong Park, Ilia Ovsiannikov, Lilong Shi
Publikováno v:
Three-Dimensional Image Processing (3DIP) and Applications
3D time-of-flight depth cameras utilize modulated light sources to detect the distance to objects as phase information. A serious limitation may exist in cases when multiple depth time-of-flight cameras are imaging the same scene simultaneously. The
Autor:
Chilhee Chung, Gregory Waligorski, Ilia Ovsiannikov, Yoon-dong Park, Deokha Shin, Sunhwa Jung, Joon-Ho Lee, Yohwan Noh, Wang-Hyun Kim, Yibing Michelle Wang, Lilong Shi, Hyekyung Jung, Dong-ki Min, Wendy Wang
Publikováno v:
Computational Imaging
In this paper, we proposed a new technique for demosaicing a unique RGBZ color-depth imaging sensor, which captures color and depth images simultaneously, with a specially designed color-filter-array (CFA) where two out of six RGB color rows are repl
Autor:
Seung-Hoon Lee, Wang Yibing, Won-joo Kim, Chilhee Chung, Eric R. Fossum, Yoon-dong Park, Ilia Ovsiannikov
Publikováno v:
ISSCC
A 1.5Mpixel RGBZ image sensor that simultaneously captures color (RGB) and time-of-flight (ToF) range (Z) images is presented. While ToF sensors are well documented [1,2], few, if any, monolithic sensors have been reported that capture both range and