Astrolabe: A Collaborative Multiperspective Goal-Oriented Risk Analysis Methodology

The intention of this paper is to introduce a risk analysis methodology called Astrolabe. Astrolabe is based on causal analysis of systems risks. It allows the analysts to both align the current standpoint of the system with its intentions and identify any vulnerabilities or hazards that threaten the systems stability. Astrolabe adopts concepts from organizational theory and software requirement engineering. The aim of Astrolabe is to guide risk analysis through its phases so that a near complete investigation of system risks is performed. The concepts and methods driving the Astrolabe methodology have been clearly explained in this paper.      

Young People's Translocal New Media Uses: A Multiperspective Analysis Of Language Choice And Heteroglossia

The aim of this paper is to shed light on the particularities of the linguistic, social and cultural action of young Finns in translocal new media spaces, and the ways in which they themselves make sense of and account for their actions. We present findings from 4 case studies, each of which illustrates aspects of translocality in young Finns' new media uses. Theoretically and methodologically the case studies draw on sociolinguistics, discourse studies, and ethnography, making use of the concepts of language choice and linguistic and stylistic heteroglossia. Through the 4 cases in focus, the paper shows how young people's linguistically and textually sophisticated new media uses are geared by and express translocal affective, social, and cultural alignments and affinities.     

快乐影像 随心所欲

投影机经历了几年的发展,已经脱离了贵族产品的形象,作为教学、培训、会议等必不可少的演示工具,投影机已经逐步走进了我们的工作和生活,并带来无比的便利和大屏幕的享受.     

Derivative-based imaging

We present a new biologically inspired imaging framework which uses sensor motion in a constructive way, contrary to most current imaging techniques. In addition to measuring light intensity, the spatial derivatives of the scene are estimated by measuring the temporal derivatives of the output of the vibrating photoreceptors. This is inspired from the fixational eye movements of the human visual system. When motion is known, these measured spatial derivatives can be used to improve the quality of the intensity image, as well as for object and pattern recognition tasks. This image reconstruction is based on integrating the derivatives while using the measured intensities as integration constants. The results of the imaging framework and of the reconstruction step are high quality images of the light intensities and of its spatial derivatives, which is relevant for further scene understanding. The advantages and the potential of this new imaging framework are shown in many simulations in this paper.     

热成像传感器动静态成像系统设计

为测试研究室开发的热成像传感器性能与成像质量,设计了成像传感器动静态成像与图像算法验证系统.系统能够捕获成像传感器静态图像,并能实时成像,具有通用性.数据的采集和处理应用FPGA+ DSP开发板实现.数据传输基于CY7C68013芯片以块同步数据传输方式,实现了无缝同步方式高速传输.基于VS2010编程环境和开源机器视觉库编写了接收、存储以及处理图像数据应用程序平台.测试表明:系统能够以40 Mbyte/s速率数据传输,用于实验室开发的热成像传感器工作良好.     

Scene-adaptive coded aperture imaging

Multimedia Tools and Applications - Coded aperture imaging systems have recently shown great success in recovering scene depth and extending the depth-of-field. Tremendous efforts have been focused...     

A hemispherical imaging camera

Most of the existing panoramic cameras have cylindrical field of view (FOV) which has a 360° width in azimuth, but a limited height in elevation. However, a hemispherical (or near spherical) FOV is highly desirable in many applications such as robot navigation and surveillance. This paper presents a planar-mirror-based panoramic camera (HEM) which is capable of acquiring nearly hemispherical FOV panoramic images at high and substantially uniform resolution, from a single viewpoint, at video rates. The camera consists of multiple imaging sensors and a hexagonal prism made of planar mirror faces. The sensors are positioned in such a way that they image different parts of the scene from the same virtual viewpoint, either directly or after reflections off the prism. A panoramic image is constructed by concatenating the images taken by different sensors. The proposed system is designed such that the resolution across entire FOV has the same level of uniformity as delivered by a conventional, non-panoramic camera over a small FOV, and the sensor area utilization is maximized. We also present a novel camera placement technique that helps co-locate the optic points of all seven sensors at a single viewpoint, and a method to compensate for artifacts near mirror boundaries caused by finite size of lens aperture. An implementation of the proposed system as well as resulting hemispherical panoramic images are included.     

Displays for electronic imaging

Electronic displays are seemingly pervasive, but their suitability for digital imaging depends on both underlying technology and end-user application, as this overview of displays indicates     

Attention-enhanced computational ghost imaging

In this study, we propose an attention-enhanced computational ghost imaging method(AEGI). AEGI integrates the attention mechanism into the framework of computational ghost imaging. In the process of image reconstruction, the attention mechanism identifies and captures object-relevant information from the extracted features, constrained by the discrepancy between the 1D intensity of the predicted and actual object image. This process can adjust the weight of the feature by exploring the relationship between the feature and adjacent features, thus enhancing the object signal while suppressing background noise in the final image. In addition, we have conducted some experiments in unfamiliar space and underwater environments to verify the effectiveness of AEGI. The results show that AEGI can reconstruct object images with high quality, which greatly enhances the practical application capabilities of computational ghost imaging.     

Variable aperture panoramic imaging

Multimedia Tools and Applications - Panoramic imaging has important applications in virtual reality. Current panoramic imaging only can create a 360° panorama but cannot change the focal...     

Hypergraph imaging: an overview

Hypergraph theory as originally developed by Berge (Hypergraphe, Dunod, Paris, 1987) is a theory of finite combinatorial sets, modeling lot of problems of operational research and combinatorial optimization. This framework turns out to be very interesting for many other applications, in particular for computer vision. In this paper, we are going to survey the relationship between combinatorial sets and image processing. More precisely, we propose an overview of different applications from image hypergraph models to image analysis. It mainly focuses on the combinatorial representation of an image and shows the effectiveness of this approach to low level image processing; in particular to segmentation, edge detection and noise cancellation.     

Phase problems in optical imaging

Because the phase contains more information about the field compared to the amplitude, measurement of the phase is encountered in many branches of modern science and engineering. Direct measurement of the phase is difficult in the visible regime of the electromagnetic wave. One must employ computational techniques to calculate the phase from the captured intensity. In this paper, we provide a review of our recent work on iterative phase retrieval techniques and their applications in optical imaging.     

Graphics and imaging in medicine

To explore the evolving role graphics and imaging might play in medicine over the coming centuries, the author considers three scenarios of the future. These involve medical image processing, computer graphics and robotics     

Lens-free imaging for biological applications

Lens-free (or lensless) imaging is emerging as a cost-effective, compact, and lightweight detection method that can serve numerous biological applications. Lens-free imaging can generate high-resolution images within a field-portable platform, which is ideal for affordable point-of-care devices aiming at resource-limited settings. In this mini-review, we first describe different modes of operation for lens-free imaging and then highlight several recent biological applications of this emerging platform technology.