We propose a method for removing non-uniform motion blur from multiple blurry images. Traditional methods focus on estimating a single motion blur kernel for the entire image. In ...
Linear parameterized models of optical flow, particularly affine models, have become widespread in image motion analysis. The linear model coefficients are straightforward to estim...
David J. Fleet, Michael J. Black, Yaser Yacoob, Al...
In this paper we propose a high-S/N imaging method involving combining many images captured with small blur using a video camera capable of high-frame-rate image capturing at 1000...
In this paper, we propose a novel linear programming based method to estimate arbitrary motion from two images. The proposed method always finds the global optimal solution of the...
Abstract. This paper proposes a fast method for dense 3-D interpretation to directly estimate a dense map of relative depth and motion from a monocular sequence of images on large ...