This paper proposes a new framework for image segmentation based on the integration of MRFs and deformable models using graphical models. We first construct a graphical model to r...
We present an approach to low-level vision that combines two main ideas: the use of convolutional networks as an image processing architecture and an unsupervised learning procedu...
This paper describes a skeletonization process for grayscale or color images based on the diffusion of the color gradient vectors by using a simple iterative regularization scheme...
Abstract: This paper presents a new approach for gesture classification using x- and y-projections of the image and optional depth features. The system uses a 3-D time-of-flight (T...
Eva N. K. Kollorz, Jochen Penne, Joachim Hornegger...
Visual learning is expected to be a continuous and robust process, which treats input images and pixels selectively. In this paper we present a method for subspace learning, which...