Results 241 to 250 of about 3,824,869 (307)

Advances in tissue optical clearing for 3D imaging in large animal. [PDF]

Front Optoelectron
Deng Y, Xu J, Yu T, Zhu D.
europepmc   +1 more source

3D Imaging of Mitral Valve Perforation as a Complication of Austrian Syndrome. [PDF]

Echocardiography
Panyala N, Rusin K, Wheeler ND.
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Spectral-acoustic-coordinated astigmatic metalens for wide field-of-view and high spatiotemporal resolution 3D imaging. [PDF]

Light Sci Appl
Gong S, Guo Y, Li X, Pu M, Tian P, Zhang Q, Chen L, Ye W, Liu H, Zhang F, Xu M, Luo X.   +11 more
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Deciphering the hydrogen shuttle-mediated kinetic memory of Ge-related defects in UV-grade fused quartz via <i>in situ</i> EPR with 3D imaging. [PDF]

Magn Reson Lett
Lou X, Geng F, Shi K, Hu B.
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Deep Sub-Wavelength 3D Imaging Using a Single Nanowire Detector. [PDF]

Nano Lett
Lamers N, Anttu N, Adham K, Hrachowina L, Hessman D, Borgström MT, Wallentin J.   +6 more
europepmc   +1 more source

Non-destructive quantification of shoot apical meristem homeostasis for prediction of plant architecture and biomass using robot-based 3D imaging and photosynthesis measurements. [PDF]

Plant Commun
Shi Y, Wang P, Wei Q, Song Q, Yuan Z.
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Single Image 3D without a Single 3D Image

2015 IEEE International Conference on Computer Vision (ICCV), 2015
Do we really need 3D labels in order to learn how to predict 3D? In this paper, we show that one can learn a mapping from appearance to 3D properties without ever seeing a single explicit 3D label. Rather than use explicit supervision, we use the regularity of indoor scenes to learn the mapping in a completely unsupervised manner.
David F. Fouhey, Wajahat Hussain, Abhinav Gupta 0001, Martial Hebert   +3 more
openaire   +1 more source