A Database and Evaluation Methodology for Optical Flow
International Journal of Computer Vision
International Journal of Computer Vision
Adaptive large window correlation for optical flow estimation with discrete optimization
Image and Vision Computing
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Graph-cut methods have become an intensive area of research in image processing, with applications to stereo vision, binary thresholding, classification and image de-noising amongst other areas. This paper describes novel graph-cut implementations for use in two applications: 2D optical flow and interactive object delineation. The optical flow implementation is based on recursive application of graph-cuts, and is shown to perform favourably with state-of-the-art methods. The delineation method is novel in that it requires only a single point to be selected for a delineation to be achieved, and uses a different type of graph topology compared to the traditional methods.