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Pregled bibliografske jedinice broj: 1123699

Comparing region-based and feature-based methods for ROV vision-based motion estimation


Ferreira, F.; Veruggio, G.; Caccia, M.; Bruzzone, G.
Comparing region-based and feature-based methods for ROV vision-based motion estimation // 9th IFAC Conference on Manoeuvring and Control of Marine Craft
Arenzano, Italija: Elsevier, 2012. str. 91-96 doi:10.3182/20120919-3-it-2046.00016 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)


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Naslov
Comparing region-based and feature-based methods for ROV vision-based motion estimation

Autori
Ferreira, F. ; Veruggio, G. ; Caccia, M. ; Bruzzone, G.

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
9th IFAC Conference on Manoeuvring and Control of Marine Craft / - : Elsevier, 2012, 91-96

ISBN
978-3-902823-60-1

Skup
9th IFAC Conference on Manoeuvring and Control of Marine Craft

Mjesto i datum
Arenzano, Italija, 19.09.2012. - 21.09.2012

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
ROV navigation ; motion estimation ; MSER ; BRIEF ; SURF ; STAR ; FAST

Sažetak
In this work, a comparison between different region-based and feature-based techniques used to estimate the motion of an underwater Remotely Operated Vehicle (ROV) is performed. In what respects region-based detectors, the article compares a previously analyzed template correlation technique with Maximally stable extremal regions (MSER). In previous works, the template correlation method proved to be the best (both in robustness to noise and computational time) when compared with several feature detectors (and descriptors) namely Scale Invariant Feature Transform (SIFT), Speeded Up Robust Features (SURF), Center Surround Extrema (CenSurE), Features from Accelerated Segment Test (FAST), Binary Robust Independent Elementary Features (BRIEF) and Oriented FAST and Rotated BRIEF (ORB). Therefore, the need of comparing it with other region-based detectors arises. Nonetheless, previously untested detectors are now tested combined with BRIEF descriptors due to the good results obtained with BRIEF descriptors in previous works. All the algorithms are implemented in the same free open source library in order to achieve a fair benchmarking, in particular in terms of computational cost. The same experimental data set tested previously is used now in order to allow a relative comparison between these approaches as well as with previous approaches. The qualitative results show that MSER is unsuitable for this application while quantitative results proved that a combination of BRIEF descriptors and a variation of the CenSurE detector is faster and as robust to noise as template correlation. This is an important result as many techniques have been tested so far and all were always slower than template correlation.

Izvorni jezik
Engleski

Znanstvena područja
Elektrotehnika, Računarstvo



POVEZANOST RADA


Profili:

Avatar Url Fausto Ferreira (autor)

Poveznice na cjeloviti tekst rada:

doi

Citiraj ovu publikaciju:

Ferreira, F.; Veruggio, G.; Caccia, M.; Bruzzone, G.
Comparing region-based and feature-based methods for ROV vision-based motion estimation // 9th IFAC Conference on Manoeuvring and Control of Marine Craft
Arenzano, Italija: Elsevier, 2012. str. 91-96 doi:10.3182/20120919-3-it-2046.00016 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
Ferreira, F., Veruggio, G., Caccia, M. & Bruzzone, G. (2012) Comparing region-based and feature-based methods for ROV vision-based motion estimation. U: 9th IFAC Conference on Manoeuvring and Control of Marine Craft doi:10.3182/20120919-3-it-2046.00016.
@article{article, author = {Ferreira, F. and Veruggio, G. and Caccia, M. and Bruzzone, G.}, year = {2012}, pages = {91-96}, DOI = {10.3182/20120919-3-it-2046.00016}, keywords = {ROV navigation, motion estimation, MSER, BRIEF, SURF, STAR, FAST}, doi = {10.3182/20120919-3-it-2046.00016}, isbn = {978-3-902823-60-1}, title = {Comparing region-based and feature-based methods for ROV vision-based motion estimation}, keyword = {ROV navigation, motion estimation, MSER, BRIEF, SURF, STAR, FAST}, publisher = {Elsevier}, publisherplace = {Arenzano, Italija} }
@article{article, author = {Ferreira, F. and Veruggio, G. and Caccia, M. and Bruzzone, G.}, year = {2012}, pages = {91-96}, DOI = {10.3182/20120919-3-it-2046.00016}, keywords = {ROV navigation, motion estimation, MSER, BRIEF, SURF, STAR, FAST}, doi = {10.3182/20120919-3-it-2046.00016}, isbn = {978-3-902823-60-1}, title = {Comparing region-based and feature-based methods for ROV vision-based motion estimation}, keyword = {ROV navigation, motion estimation, MSER, BRIEF, SURF, STAR, FAST}, publisher = {Elsevier}, publisherplace = {Arenzano, Italija} }

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