Image Sequence Stabilization, Mosaicking, and Superresolution

Image stabilization, mosaicking, and motion superresolution are the processes that operate on a temporal sequence of image of a largely static scene viewed by a moving camera. The apparent motion observed in the image can be approximated to comply with a global motion model under a variety of circumstances. A simple and efficient algorithm for recovering the global motion parameters is presented in the chapter. Further research on flight navigation of insects, especially for bees and flies, has uncovered a number of different optical cues that insects use for successful navigation and stabilization of their flight. This chapter discusses the vision-based control mechanisms that these insects use for navigational purposes. It describes the global motion model and its implications. One optical flow-based algorithm is also followed by three primary applications of this procedure: 2D stabilization, mosaicking, and motion superresolution. A related but theoretically distinct problem, three-dimensional (3D) stabilization, is discussed in the chapter.