We present a variational PDE based model for tracking objects under occlusion. Here, prior shape information is used to segment object boundaries that are occluded. The novelty in...
J. H. von Brecht, Sheshadri R. Thiruvenkadam, Tony...
Digital copyright protection has become increasingly important in recent times due to the rapid growth of the Internet and the proliferation of P2P technologies. Copyright protect...
Segmentation involves separating distinct regions in an image. In this note, we present a novel variational approach to perform this task. We propose an energy functional that nat...
Samuel Dambreville, Marc Niethammer, Anthony J. Ye...
This article deals with the estimation of sinusoidal parameters for non stationary sinusoids. It will be shown that for linear amplitude and frequency modulation only the frequenc...
Several simulations for parallel collision detection have been suggested during the last years. The algorithms usually greatly depend on the parallel infrastructure and this depen...
Traffic signs are designed to be clearly seen by drivers. However a little is known about the visual influence of the traffic sign environment on how it will be perceived. Computer...
Ludovic Simon, Jean-Philippe Tarel, Roland Bremond
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 presents a novel method for performing the registration and gamma correction of images in a simultaneous manner. The image registration and relative gamma estimation pro...
Abstract - We propose a new method for image segmentation based on a variational regularization algorithm for image denoising. We modify the Rudin-Osher-Fatemi (ROF) model in [1] b...