A comparison between different feature-based methods for ROV vision-based speed estimation (Contributo in atti di convegno)

Type

• Contributo in atti di convegno (Classe)
• Prodotto della ricerca (Classe)

Label

• A comparison between different feature-based methods for ROV vision-based speed estimation (Contributo in atti di convegno) (literal)

Anno

• 2012-01-01T00:00:00+01:00 (literal)

Alternative label

• Ferreira, Fausto; Veruggio, Gianmarco; Caccia, Massimo; Bruzzone, Gabriele (2012)
  A comparison between different feature-based methods for ROV vision-based speed estimation
  in IFAC Workshop on Navigation, Guidance and Control of Underwater Vehicles (NGCUV'2012), Oporto, Portugal, April 2012
  (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori

• Ferreira, Fausto; Veruggio, Gianmarco; Caccia, Massimo; Bruzzone, Gabriele (literal)

Pagina inizio

• 325 (literal)

Pagina fine

• 330 (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#url

• http://www.scopus.com/record/display.url?eid=2-s2.0-84880908189&origin=inward (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroVolume

• 3 (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#volumeInCollana

• 3 (literal)

Rivista

• IFAC proceedings volumes (Rivista)

Note

• Scopu (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni

• Consiglio Nazionale delle Ricerche (literal)

Titolo

• A comparison between different feature-based methods for ROV vision-based speed estimation (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#isbn

• 9783902823199 (literal)

Abstract

• A comparison study between different state-of-the-art visual approaches for estimating the motion of an underwater Remotely Operated Vehicle (ROV) is performed. The paper compares five different techniques: the template correlation, Speeded Up Robust Features (SURF), Scale Invariant Feature Transform (SIFT), Features from Accelerated Segment Test (FAST) and Center Surround Extrema (CenSurE), all based on feature extraction and matching. All these are implemented on the same free open source library which allows a fair comparison that can establish the best technique (depending on the criteria used). Taking into account previous work where SURF and template correlation techniques were evaluated using a batch of data collected in typical operating conditions with the Romeo ROV, the other techniques are compared using the same data set. In estimating vehicle speed, SURF and SIFT presented noise levels higher but close to template correlation, though SURF and SIFT have more outliers. In terms of computational time, template correlation outperforms all other alternatives by large in some cases. (literal)

Prodotto di

• Sistemi robotici autonomi e controllo (SP.P03.003.001) (Modulo)
• Institute of intelligent systems for automation (ISSIA) (Istituto)

Autore CNR

• MASSIMO CACCIA (Persona)
• GIANMARCO VERUGGIO (Persona)
• FAUSTO MIGUEL PASCOAL FERREIRA (Unità di personale esterno)
• GABRIELE BRUZZONE (Unità di personale interno)

Insieme di parole chiave

• Keywords of "A comparison between different feature-based methods for ROV vision-based speed estimation" (Insieme di parole chiave)

Incoming links:

Prodotto

• Institute of intelligent systems for automation (ISSIA) (Istituto)
• Sistemi robotici autonomi e controllo (SP.P03.003.001) (Modulo)

Autore CNR di

• GIANMARCO VERUGGIO (Persona)
• GABRIELE BRUZZONE (Unità di personale interno)
• MASSIMO CACCIA (Persona)
• FAUSTO MIGUEL PASCOAL FERREIRA (Unità di personale esterno)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#rivistaDi

• IFAC proceedings volumes (Rivista)

Insieme di parole chiave di

• Keywords of "A comparison between different feature-based methods for ROV vision-based speed estimation" (Insieme di parole chiave)