Low-power laser calorimetry with high resolution

1994 ◽  
Author(s):  
Hans W. Becker ◽  
Volker Scheuer ◽  
Theo T. Tschudi
1999 ◽  
Author(s):  
Ronald J. Blake ◽  
Adam B. Revell ◽  
Donald F. Shepard ◽  
Reed M. Nielsen ◽  
Mark R. Baugh ◽  
...  

2021 ◽  
Vol 27 ◽  
pp. 101085
Author(s):  
Fathia Abd Elwahid Mannaa ◽  
Khaled Gamal El-Deen Abdel-Wahhab ◽  
Eitedal Mahmoud Daoud ◽  
Aliaa Abdel Rahman El Gendy ◽  
Maha Mohamed Saber ◽  
...  

2021 ◽  
Vol 20 (3) ◽  
pp. 1-22
Author(s):  
David Langerman ◽  
Alan George

High-resolution, low-latency apps in computer vision are ubiquitous in today’s world of mixed-reality devices. These innovations provide a platform that can leverage the improving technology of depth sensors and embedded accelerators to enable higher-resolution, lower-latency processing for 3D scenes using depth-upsampling algorithms. This research demonstrates that filter-based upsampling algorithms are feasible for mixed-reality apps using low-power hardware accelerators. The authors parallelized and evaluated a depth-upsampling algorithm on two different devices: a reconfigurable-logic FPGA embedded within a low-power SoC; and a fixed-logic embedded graphics processing unit. We demonstrate that both accelerators can meet the real-time requirements of 11 ms latency for mixed-reality apps. 1


1992 ◽  
Vol 25 (2) ◽  
pp. 77-81 ◽  
Author(s):  
Michael Wilson ◽  
John Dobson ◽  
Wilson Harvey

2015 ◽  
Vol 119 (1) ◽  
pp. 153-164 ◽  
Author(s):  
Lei Tao ◽  
Kang Sun ◽  
David J. Miller ◽  
Dan Pan ◽  
Levi M. Golston ◽  
...  

1998 ◽  
Author(s):  
Gregory E. Brill ◽  
Arkady V. Arkchangelsky ◽  
Nadezda P. Panina ◽  
Galina N. Maslyakova ◽  
Elena G. Kulikova ◽  
...  

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