A virtual object point model for the calibration of underwater stereo cameras to recover accurate 3D information

Tim Dolereit

doi:10.18453/rosdok_id00002323

Tim Dolereit

A virtual object point model for the calibration of underwater stereo cameras to recover accurate 3D information

Universität Rostock, 2017

https://doi.org/10.18453/rosdok_id00002323

Abstract: The focus of this thesis is on recovering accurate 3D information from underwater images. Underwater 3D reconstruction differs significantly from 3D reconstruction in air due to the refraction of light. In this thesis, the concepts of stereo 3D reconstruction in air get extended for underwater environments by an explicit consideration of refractive effects with the aid of a virtual object point model. Within underwater stereo 3D reconstruction, the focus of this thesis is on the refractive calibration of underwater stereo cameras.

Dissertation Freier Zugang

Titel:

A virtual object point model for the calibration of underwater stereo cameras to recover accurate 3D information

Beteiligte Personen:

Tim Dolereit[VerfasserIn]
	1169680410
Bodo Urban[AkademischeR BetreuerIn]
	0000-0003-4968-4506
	132788357
Reinhard Koch[AkademischeR BetreuerIn]
	1015521614
Uwe Lukas , Freiherr von[AkademischeR BetreuerIn]
	128388951

Beteiligte Körperschaften:

Universität Rostock[Grad-verleihende Institution]
	38329-6
Universität Rostock, Fakultät für Informatik und Elektrotechnik[Grad-verleihende Institution]
	10085032-7

Zusammenfassung:

The focus of this thesis is on recovering accurate 3D information from underwater images. Underwater 3D reconstruction differs significantly from 3D reconstruction in air due to the refraction of light. In this thesis, the concepts of stereo 3D reconstruction in air get extended for underwater environments by an explicit consideration of refractive effects with the aid of a virtual object point model. Within underwater stereo 3D reconstruction, the focus of this thesis is on the refractive calibration of underwater stereo cameras. [Deutsch]

Dokumenttyp:

Dissertation

Einrichtung:

Fakultät für Informatik und Elektrotechnik

Sprache:

Englisch

Sachgruppe der DNB:

004 Informatik

Veröffentlichung /
Entstehung:

Rostock

Rostock: Universität Rostock

2017