In this paper we propose a novel algorithm to estimate motion parameters from a single blurred image, exploiting geometrical relations between image intensities at pixels of a reg...
Abstract. In this paper we describe a method for estimating the internal parameters of the left and right cameras associated with a stereo image pair. The stereo pair has known epi...
Gabriela Csurka, David Demirdjian, Andreas Ruf, Ra...
This paper proposes a system for model based human motion estimation. We start with a human model generation system, which uses a set of input images to automatically generate a f...
Abstract— We present an algorithm for infinitesimal motion estimation and segmentation from multiple central panoramic views. We first show that the central panoramic optical ...
This paper explores an approach for extracting scene text from a sequence of images with relative motion between the camera and the scene. It is assumed that the scene text lies o...