Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Michael Krainin"'
Autor:
Sean Bae, Silviu Borac, Yunus Emre, Jonathan Wang, Jiang Wu, Mehr Kashyap, Si-Hyuck Kang, Liwen Chen, Melissa Moran, Julie Cannon, Eric S. Teasley, Allen Chai, Yun Liu, Neal Wadhwa, Michael Krainin, Michael Rubinstein, Alejandra Maciel, Michael V. McConnell, Shwetak Patel, Greg S. Corrado, James A. Taylor, Jiening Zhan, Ming Jack Po
Publikováno v:
Communications Medicine, Vol 2, Iss 1, Pp 1-10 (2022)
Bae et al. prospectively evaluated smartphone camera-based techniques for measuring heart rate and respiratory rate. They found measurements were accurate across a range of pre-defined subgroups.
Externí odkaz:
https://doaj.org/article/2ebc5cc2cff14e5ca029e6e31d25fd42
Autor:
Wei-Sheng Lai, Yichang Shih, Lun-Cheng Chu, Xiaotong Wu, Sung-Fang Tsai, Michael Krainin, Deqing Sun, Chia-Kai Liang
Motion blur of fast-moving subjects is a longstanding problem in photography and very common on mobile phones due to limited light collection efficiency, particularly in low-light conditions. While we have witnessed great progress in image deblurring
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1c121416b39590bb0bbae669348c388a
http://arxiv.org/abs/2207.11617
http://arxiv.org/abs/2207.11617
Autor:
Varun Jampani, Huiwen Chang, Kyle Sargent, Abhishek Kar, Richard Tucker, Michael Krainin, Dominik Kaeser, William T. Freeman, David Salesin, Brian Curless, Ce Liu
Single image 3D photography enables viewers to view a still image from novel viewpoints. Recent approaches combine monocular depth networks with inpainting networks to achieve compelling results. A drawback of these techniques is the use of hard dept
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b8cd7292db795987d2c6bc4f5512879a
http://arxiv.org/abs/2109.01068
http://arxiv.org/abs/2109.01068
Autor:
Taylor J, Greg S. Corrado, Y. Emre, Po M, Si Hyuck Kang, Neal Wadhwa, Melissa Moran, Cannon J, Shwetak N. Patel, Chai A, Michael V. McConnell, Michael Krainin, Teasley E, Kashyap M, Borac S, Yun Liu, Wu J, Chen L, Maciel A, Zhan J, Bae S, Wang J, Michael Rubinstein
Measuring vital signs plays a key role in both patient care and wellness, but can be challenging outside of medical settings due to the lack of specialized equipment. In this study, we prospectively evaluated smartphone camera-based techniques for me
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::382b1aee06c0aa24291785b9518f8451
https://doi.org/10.21203/rs.3.rs-620411/v1
https://doi.org/10.21203/rs.3.rs-620411/v1
Autor:
Varun Jampani, Daniel Vlasic, Deqing Sun, Michael Krainin, Ce Liu, Ramin Zabih, Huiwen Chang, William T. Freeman, Charles Herrmann
Publikováno v:
CVPR
Synthetic datasets play a critical role in pre-training CNN models for optical flow, but they are painstaking to generate and hard to adapt to new applications. To automate the process, we present AutoFlow, a simple and effective method to render tra
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7225d8ad69cbda7ef3db94de769c24b1
https://doi.org/10.1109/cvpr46437.2021.00996
https://doi.org/10.1109/cvpr46437.2021.00996
Autor:
Ignacio Garcia-Dorado, Manfred Ernst, Peyman Milanfar, Wronski Bartlomiej Maciej, Chia-Kai Liang, Marc Levoy, Michael Krainin, Damien Kelly
Compared to DSLR cameras, smartphone cameras have smaller sensors, which limits their spatial resolution; smaller apertures, which limits their light gathering ability; and smaller pixels, which reduces their signal-to noise ratio. The use of color f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::24288fe51a5fe937a667bb9fedfdac25
http://arxiv.org/abs/1905.03277
http://arxiv.org/abs/1905.03277
Autor:
Charles Herrmann, Ramin Zabih, Richard Strong Bowen, Emil Keyder, Michael Krainin, Chen Wang, Ce Liu
Publikováno v:
Computer Vision – ECCV 2018 ISBN: 9783030012151
ECCV (2)
ECCV (2)
Panorama creation is one of the most widely deployed techniques in computer vision. In addition to industry applications such as Google Street View, it is also used by millions of consumers in smartphones and other cameras. Traditionally, the problem
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5ce53f089edff2926e9944ba1965e5a3
https://doi.org/10.1007/978-3-030-01216-8_4
https://doi.org/10.1007/978-3-030-01216-8_4
Autor:
Albert S. Huang, Nicholas Roy, Peter Henry, Abraham Bachrach, Michael Krainin, Dieter Fox, Daniel Maturana
Publikováno v:
Springer Tracts in Advanced Robotics ISBN: 9783319293622
ISRR
ISRR
RGB-D cameras provide both a color image and per-pixel depth estimates. The richness of their data and the recent development of low-cost sensors have combined to present an attractive opportunity for mobile robotics research. In this paper, we descr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fe62bb3ff3765ada348517a0d8ffeecf
https://doi.org/10.1007/978-3-319-29363-9_14
https://doi.org/10.1007/978-3-319-29363-9_14
Publikováno v:
The International Journal of Robotics Research. 31:647-663
RGB-D cameras (such as the Microsoft Kinect) are novel sensing systems that capture RGB images along with per-pixel depth information. In this paper we investigate how such cameras can be used for building dense 3D maps of indoor environments. Such m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::274abb9cf9afb95d68f8225ee3a9e249
https://doi.org/10.1177/0278364911434148
https://doi.org/10.1177/0278364911434148
Publikováno v:
The International Journal of Robotics Research. 30:1311-1327
Recognizing and manipulating objects is an important task for mobile robots performing useful services in everyday environments. While existing techniques for object recognition related to manipulation provide very good results even for noisy and inc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e8b860f61be0465417c7403f94979620
https://doi.org/10.1177/0278364911403178
https://doi.org/10.1177/0278364911403178