Map-Enhanced UAV Image Sequence Registration and Synchronization of Multiple Image Sequences

Registering consecutive images from an airborne sensor into a mosaic is an essential tool for image analysts. Strictly local methods tend to accumulate errors, resulting in distortion. We propose here to use a reference image (such as a high resolution map image) to overcome this limitation. In our approach, we register a frame in an image sequence to the map using both frame-to-frame registration and frameto-map registration iteratively. In frame-to-frame registration, a frame is registered to its previous frame. With its previous frame been registered to the map in the previous iteration, we can derive an estimated transformation from the frame to the map. In frame-to-map registration, we warp the frame to the map by this transformation to compensate for scale and rotation difference and then perform an area based matching using Mutual Information to find correspondences between this warped frame and the map. These correspondences together with the correspondences in previous frame...

• Type: Conference
• Year: 2007
• Where: CVPR
• Authors: Yuping Lin, Gérard G. Medioni
• Keywords: Computer Vision, CVPR 2007, Image, Image Sequence, Partial Local Mosaic