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IJCV
2008

Minimal Aspect Distortion (MAD) Mosaicing of Long Scenes

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Minimal Aspect Distortion (MAD) Mosaicing of Long Scenes
Abstract Long scenes can be imaged by mosaicing multiple images from cameras scanning the scene. We address the case of a video camera scanning a scene while moving in a long path, e.g. scanning a city street from a driving car, or scanning a terrain from a low flying aircraft. A robust approach to this task is presented, which is applied successfully to sequences having thousands of frames even when using a hand-held camera. Examples are given on a few challenging sequences. The proposed system consists of two components: (i) Motion and depth computation. (ii) Mosaic rendering. In the first part a "direct" method is presented for computing motion and dense depth. Robustness of motion computation has been increased by limiting the motion model for the scanning camera. An iterative graph-cuts approach, with planar labels and a flexible similarity measure, allows the computation of a dense depth for the entire sequence. In the second part a new minimal aspect distortion (MAD) m...
Alex Rav-Acha, Giora Engel, Shmuel Peleg
Added 12 Dec 2010
Updated 12 Dec 2010
Type Journal
Year 2008
Where IJCV
Authors Alex Rav-Acha, Giora Engel, Shmuel Peleg
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