Although RANSAC is the most widely used robust estimator in computer vision, it has certain limitations making it ineffective in some situations, such as the motion estimation prob...
Trung Ngo Thanh, Hajime Nagahara, Ryusuke Sagawa, ...
In this paper, we propose a learning-based image restoration algorithm for restoring images degraded by uniform motion blurs. The motion blur parameters are first approximately es...
Motion estimation is known to be a non-convex optimization problem. This non-convexity comes from several ambiguities in motion estimation such as the aperture problem, or fast mo...
An end-to-end rate-distortion optimized motion estimation method for robust video coding in lossy networks is proposed. In this method the expected reconstructed distortion after ...
Abstract. The aim of this paper is to explore intrinsic geometric methods of recovering the three dimensional motion of a moving camera from a sequence of images. Generic similarit...