Optical Flow Video Image Mosaic
نویسنده
چکیده
Many problems require finding the coordinate transformation between two images of the same scene or object. Whether to recover camera motion between video frames, to stabilize video images, to relate or recognize photographs taken from two different cameras, to compute depth within a three-dimensional (3-D) scene, or for image registration and resolution enhancement, it is important to have a precise description of the coordinate transformation between a pair of images or video frames. In this project, I use video mosaicing as an application of motion estimation. The method that I used in the project is proposed in 1997, Mann gave techniques for automatically finding the eight-parameter projective coordinate transformation that relates two frames taken of the same static scene. The techniques take as input two frames, and automatically output the eight parameters of the motion model, to properly register the frames. They do not require the tracking or correspondence of explicit features, so that always be mentioned as featureless method. But this method is not so robust when the motion is large or when there are a long sequence (because of the accumulative error). In this project, I will describe how to use hierarchical motion estimation and local adjustment to refine the motion model, which can reduce the error efficiently. The second part of the project is straight-forward, which is to use the motion model to register the images into one bigger image. This procedure is called mosaicing. In my project, to avoid the distortion coming from the motion estimation, I use hierarchical model again, Some mosaicing results are given at the end of the report.
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تاریخ انتشار 2003