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Technical Program
Paper Detail
| Paper: | MA-P4.5 |
| Session: | Image Registration/Alignment and Mosaicking |
| Time: | Monday, October 9, 09:40 - 12:20 |
| Presentation: |
Poster
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| Title: |
STABILIZATION AND MOSAICING OF AIRBORNE VIDEOS |
| Authors: |
Mahesh Ramachandran; University of Maryland, College Park | | | | | Rama Chellappa; University of Maryland, College Park | | |
| Abstract: |
We present an algorithm for stabilizing low-quality and low-resolution video sequences obtained from UAVs and MAVs flying over a predominantly planar terrain. The problem is important for the processing of videos captured from airborne platforms where most of the image region gives little information about the image-motion. The algorithm consists of approximately aligning the images using phase correlation, then refining the transformation parameters using available optical flow measurements and finally performing a minimization of the image difference by carefully selecting the image regions to make the iterations converge. In the second part of the paper, we describe an algorithm for camera ego-motion estimation by incorporating available metadata along with the video sequence. The availability of metadata such as IMU measurements provides a good initial solution for the camera orientation and helps the iterations converge faster by reducing the search space. |
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