Abstract
| Lingua originale | English |
|---|---|
| pagine (da-a) | 403-410 |
| Numero di pagine | 8 |
| Rivista | CHEMISTRY IN ECOLOGY |
| Volume | 22(8) |
| Stato di pubblicazione | Published - 2006 |
Fingerprint
All Science Journal Classification (ASJC) codes
- Ecology, Evolution, Behavior and Systematics
- Ecology
- Environmental Science(all)
- Earth and Planetary Sciences(all)
Cita questo
Tecsis: Low-Cost Methodology To Distinguish Archaeological Findings. / Tegolo, Domenico; Gravili; Ialuna.
In: CHEMISTRY IN ECOLOGY, Vol. 22(8), 2006, pag. 403-410.Risultato della ricerca: Article
}
TY - JOUR
T1 - Tecsis: Low-Cost Methodology To Distinguish Archaeological Findings
AU - Tegolo, Domenico
AU - Gravili, null
AU - Ialuna, null
PY - 2006
Y1 - 2006
N2 - The automatic or semi-automatic research of archaeological findings includes some methodologies and algorithms of the Computer Vision. Reconstruction of a scene is one of the key step to get the solution to that challenge. This paper will address a methodology to reconstruction underwater scenes with mosaicingtechniques. The reconstruction of scene will be the video-mosaic of sea bottom landscapes starting from single video frames. The methodology is based on the evaluation of the optic °ow in between frames, and its motion estimation has been evaluated on the extracted features from the common areas of consecutivepairs frames. This approach carried out the motion model from a geometric projection framework. The camera movement estimation is a second key point in the mosaicing problem. The used methodology have to be enough robust to achieve a good performance because of the high level of noise and turbulence involved in sea bottom video acquisition. For this purpose geometrical transformations have been usedto map each frame global into a unique big common reference frame which dimensions are similar to the union of frames.
AB - The automatic or semi-automatic research of archaeological findings includes some methodologies and algorithms of the Computer Vision. Reconstruction of a scene is one of the key step to get the solution to that challenge. This paper will address a methodology to reconstruction underwater scenes with mosaicingtechniques. The reconstruction of scene will be the video-mosaic of sea bottom landscapes starting from single video frames. The methodology is based on the evaluation of the optic °ow in between frames, and its motion estimation has been evaluated on the extracted features from the common areas of consecutivepairs frames. This approach carried out the motion model from a geometric projection framework. The camera movement estimation is a second key point in the mosaicing problem. The used methodology have to be enough robust to achieve a good performance because of the high level of noise and turbulence involved in sea bottom video acquisition. For this purpose geometrical transformations have been usedto map each frame global into a unique big common reference frame which dimensions are similar to the union of frames.
UR - http://hdl.handle.net/10447/30350
M3 - Article
VL - 22(8)
SP - 403
EP - 410
JO - Chemistry and Ecology
JF - Chemistry and Ecology
SN - 0275-7540
ER -