Title :
Seafloor video mapping: modeling, algorithms, apparatus
Author :
Rzhanov, Y. ; Huff, L. ; Cutter, G.R.
Author_Institution :
Center for Coastal & Ocean Mapping, New Hampshire Univ., Durham, NH, USA
Abstract :
This paper discusses a technique used for construction of high-resolution image mosaic from a video sequence and the synchronously logged camera attitude information. It allows one to infer geometric characteristics of the imaged terrain and hence improve the mosaic quality and reduce the computational burden. The technique is demonstrated using numerical modeling and is applied to video data collected on Rainsford Island, Mass. Calculation of the transformation relating consecutive image frames is an essential operation affecting reliability of the whole mosaicing process. Improvements to the algorithm are suggested, which significantly decrease the possibility of convergence to an inappropriate solution.
Keywords :
geophysics computing; image resolution; image sequences; oceanographic equipment; oceanographic techniques; sensors; video cameras; video signal processing; Rainsford Island; algorithms; attitude sensor; camera attitude information; computational burden reduction; geometric characteristics; high-resolution image mosaic; image frames; image sequences; imaged terrain; modeling; numerical modeling; seafloor video mapping; video camera; video data; video sequence; Antenna measurements; Cameras; Global Positioning System; Image resolution; Image sensors; Oceans; Position measurement; Rain; Sea floor; Sea measurements;
Conference_Titel :
Image Processing. 2002. Proceedings. 2002 International Conference on
Print_ISBN :
0-7803-7622-6
DOI :
10.1109/ICIP.2002.1038163