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Chaotic mixing based encryption schemes for visual data are shown to be robust to lossy compression as long as the security requirements are not too high. This property facilitates the application of these ciphers in scenarios where lossy compression is applied to encrypted material – which is impossible in case traditional ciphers should be employed. If high security is required chaotic mixing loses...
This paper introduces a novel software package for the simulation of various types of range scanners. The goal is to provide researchers in the fields of obstacle detection, range data segmentation, obstacle tracking or surface reconstruction with a versatile and powerful software package that is easy to use and allows to focus on algorithmic improvements rather than on building the software framework...
This paper presents a way to efficiently use lane detection techniques - known from driver assistance systems - to assist in obstacle detection for autonomous trains. On the one hand, there are several properties that can be exploited to improve conventional lane detection algorithms when used for railway applications. The heavily changing visual appearance of the tracks is compensated by very effective...
In this paper we propose a protection scheme for 3D geometry data. This field has got hardly any attention despite the fact that 3D data has severe industrial impact on the success of a product or business. With current reproduction techniques the loss of a 3D model virtually enables a malicious party to create copies of a product. We propose a protection mechanism for 3D data that provides fine grained...
In this paper, we present an approach to resize integral images directly in the integral image domain. For the special case of resizing by a power of two, we propose a highly parallelizable variant of our approach, which is identical to bilinear resizing in the image domain in terms of results, but requires fewer operations per pixel. Furthermore, we modify a parallelized state-of-the-art object detection...
Ever increasing passenger numbers have prompted the rise of automated border control (ABC) systems. Such systems are expected to perform the identity check of a traveler with the same or higher reliability as a human border guard. One important aspect of such a control is the authentication of the identity document provided by the traveler. To ensure a constant quality of the authentication process...
We introduce a novel open-source framework for analyzing and exploring point cloud datasets and algorithms. This is done by integrating the Point Cloud Library (PCL) within ParaView, a parallel scientific visualization tool. In particular, we demonstrate that by wrapping PCL algorithms as VTK1 filters, we can leverage PCL's functionality in an interactive, easy-to-use manner within ParaView. The proposed...
In this paper, we introduce a novel and cost effective approach to calibrate the geometric properties of a far-infrared (IR) sensor. We further demonstrate that fully automatic sensor-to-sensor calibration is feasible in a setup involving a laser range scanner, IR cameras as well as conventional cameras. The calibration result then serves as a basis for upsampling range measurements to the resolution...
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