scholarly journals Demonstration of real-time structured-light depth sensing based on solid-state VCSEL beam scanner

2021 ◽  
Author(s):  
Ruixiao Li ◽  
SHANTING HU ◽  
Xiaodong Gu ◽  
Fumio Koyama
Author(s):  
Ruixiao Li ◽  
Masashi Taknohashi ◽  
Shanting Hu ◽  
Xiaodong Gu ◽  
Fumio Koyama

Entropy ◽  
2021 ◽  
Vol 23 (5) ◽  
pp. 546
Author(s):  
Zhenni Li ◽  
Haoyi Sun ◽  
Yuliang Gao ◽  
Jiao Wang

Depth maps obtained through sensors are often unsatisfactory because of their low-resolution and noise interference. In this paper, we propose a real-time depth map enhancement system based on a residual network which uses dual channels to process depth maps and intensity maps respectively and cancels the preprocessing process, and the algorithm proposed can achieve real-time processing speed at more than 30 fps. Furthermore, the FPGA design and implementation for depth sensing is also introduced. In this FPGA design, intensity image and depth image are captured by the dual-camera synchronous acquisition system as the input of neural network. Experiments on various depth map restoration shows our algorithms has better performance than existing LRMC, DE-CNN and DDTF algorithms on standard datasets and has a better depth map super-resolution, and our FPGA completed the test of the system to ensure that the data throughput of the USB 3.0 interface of the acquisition system is stable at 226 Mbps, and support dual-camera to work at full speed, that is, 54 fps@ (1280 × 960 + 328 × 248 × 3).


Author(s):  
Armin Schonlieb ◽  
David Lugitsch ◽  
Christian Steger ◽  
Gerald Holweg ◽  
Norbert Druml
Keyword(s):  

1995 ◽  
Vol 13 (7) ◽  
pp. 585-591 ◽  
Author(s):  
Peter Lindsey ◽  
Andrew Blake

Sign in / Sign up

Export Citation Format

Share Document