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Pregled bibliografske jedinice broj: 1076272

Stereo Dense Depth Tracking Based on Optical Flow using Frames and Events


Hadviger, Antea; Marković, Ivan; Petrović, Ivan
Stereo Dense Depth Tracking Based on Optical Flow using Frames and Events // Advanced robotics, 35 (2021), 3-4; 141-152 (međunarodna recenzija, članak, znanstveni)


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Naslov
Stereo Dense Depth Tracking Based on Optical Flow using Frames and Events

Autori
Hadviger, Antea ; Marković, Ivan ; Petrović, Ivan

Izvornik
Advanced robotics (0169-1864) 35 (2021), 3-4; 141-152

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni

Ključne riječi
Event Cameras ; Stereo Vision ; Depth Estimation

Sažetak
Event cameras are biologically inspired sensors that asynchronously detect brightness changes in the scene independently for each pixel. Their output is a stream of events which is reported with a low latency and high temporal resolution of a microsecond, making them superior to standard cameras in highly dynamic scenarios when they are sensitive to motion blur. Event cameras can be used in a wide range of applications, one of them being depth estimation, in both stereo and monocular settings. However, most known event-based depth estimation methods yield sparse depth maps due to the nature of the sparse event stream. We present a novel method that fuses information from both events and standard frames, as well as odometry, to exploit the advantages of both sensors. We propose to estimate dense disparity from standard frames at the point of their availability, predict the disparity using odometry information, and track the disparity asynchronously using optical flow of events between the standard frames. We present the performance of the method through several experiments in various setups, including synthetic data, KITTI dataset enhanced with events, MVSEC dataset, as well as our own stereo event camera recordings.

Izvorni jezik
Engleski

Znanstvena područja
Elektrotehnika, Računarstvo, Temeljne tehničke znanosti



POVEZANOST RADA


Ustanove:
Fakultet elektrotehnike i računarstva, Zagreb

Profili:

Avatar Url Ivan Petrović (autor)

Avatar Url Ivan Marković (autor)

Avatar Url Antea Hadviger (autor)


Citiraj ovu publikaciju:

Hadviger, Antea; Marković, Ivan; Petrović, Ivan
Stereo Dense Depth Tracking Based on Optical Flow using Frames and Events // Advanced robotics, 35 (2021), 3-4; 141-152 (međunarodna recenzija, članak, znanstveni)
Hadviger, A., Marković, I. & Petrović, I. (2021) Stereo Dense Depth Tracking Based on Optical Flow using Frames and Events. Advanced robotics, 35 (3-4), 141-152.
@article{article, author = {Hadviger, Antea and Markovi\'{c}, Ivan and Petrovi\'{c}, Ivan}, year = {2021}, pages = {141-152}, keywords = {Event Cameras, Stereo Vision, Depth Estimation}, journal = {Advanced robotics}, volume = {35}, number = {3-4}, issn = {0169-1864}, title = {Stereo Dense Depth Tracking Based on Optical Flow using Frames and Events}, keyword = {Event Cameras, Stereo Vision, Depth Estimation} }
@article{article, author = {Hadviger, Antea and Markovi\'{c}, Ivan and Petrovi\'{c}, Ivan}, year = {2021}, pages = {141-152}, keywords = {Event Cameras, Stereo Vision, Depth Estimation}, journal = {Advanced robotics}, volume = {35}, number = {3-4}, issn = {0169-1864}, title = {Stereo Dense Depth Tracking Based on Optical Flow using Frames and Events}, keyword = {Event Cameras, Stereo Vision, Depth Estimation} }

Časopis indeksira:


  • Current Contents Connect (CCC)
  • Web of Science Core Collection (WoSCC)
    • Science Citation Index Expanded (SCI-EXP)
    • SCI-EXP, SSCI i/ili A&HCI
  • Scopus





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