Pregled bibliografske jedinice broj: 923372
An evaluation of real-time RGB-D visual odometry algorithms on mobile devices
An evaluation of real-time RGB-D visual odometry algorithms on mobile devices // Journal of Real-Time Image Processing, 16 (2019), 5; 1643-1660 doi:10.1007/s11554-017-0670-y (međunarodna recenzija, članak, znanstveni)
CROSBI ID: 923372 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
An evaluation of real-time RGB-D visual odometry algorithms on mobile devices
Autori
Angladon, Vincent ; Gasparini, Simone ; Charvillat, Vincent ; Pribanić, Tomislav ; Petković, Tomislav ; Ðonlić, Matea ; Ahsan, Benjamin ; Bruel, Frédéric
Izvornik
Journal of Real-Time Image Processing (1861-8200) 16
(2019), 5;
1643-1660
Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni
Ključne riječi
RGB-D Camera ; Visual odometry ; Benchmark ; Mobile device ;
(RGB-D Camera ; Visual odometry ; Benchmark ; Mobile device)
Sažetak
We present an evaluation and a comparison of different visual odometry algorithms selected to be tested on a mobile device equipped with a RGB- D camera. The most promising algorithms from the literature are tested on different mobile devices, some equipped with the Structure Sensor. We evaluate the accuracy of each selected algorithm as well as the memory and CPU consumption, and we show that even without specific optimization, some of them can provide a reliable measure of the device motion in real time.
Izvorni jezik
Engleski
Znanstvena područja
Elektrotehnika, Računarstvo
POVEZANOST RADA
Projekti:
HRZZ-IP-2013-11-3717 - 3D sustav za mjerenje oblika trupa tijela (3DHumanTorso) (Pribanić, Tomislav, HRZZ ) ( CroRIS)
Ustanove:
Fakultet elektrotehnike i računarstva, Zagreb
Citiraj ovu publikaciju:
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
