Image mosaicing based on self adaptive optical flow metric

Mosaicing is the aligning of several frames into a single composition that represents part of a 3D scene. This is useful for many different applications, including virtual realty environments and movie special effects. Image mosaicing is commonly used to increase the visual field of view by pasting together many images or video frames. Mosaicing is a two step process. In the first step all the frames are registered individually. Image registration enables the geometric alignment of two images by means of homography. In this paper we have used optical fow method to find homography matrix between two frames. Second step is defined as the stitching of individually registered frames on a common canvas. Frames, which are considered in this paper, are views of a scene taken by a Pan, Tilt, and Zoom (PTZ) camera. Provided there is a sufficient overlap between frames, our´s is a fully automatic and invariant to camera movement mosaicing technique.