Issue Information
The FEBS journal,
02/2022, Letnik:
289, Številka:
3
Journal Article
Recenzirano
Cover IllustrationLive imaging in myogenic cells reveals localization of c‐Jun (green) in the nuclear and nucleolar compartments. See the Original Article by Tetsuaki Miyake and John C. McDermott in ...this issue.
The problem of localization on a geo-referenced satellite map given a query ground view image is useful yet remains challenging due to the drastic change in viewpoint. To this end, in this paper we ...work on the extension of our earlier work on the Cross-View Matching Network (CVM-Net) (Hu et al. in IEEE conference on computer vision and pattern recognition (CVPR),
2018
) for the ground-to-aerial image matching task since the traditional image descriptors fail due to the drastic viewpoint change. In particular, we show more extensive experimental results and analyses of the network architecture on our CVM-Net. Furthermore, we propose a Markov localization framework that enforces the temporal consistency between image frames to enhance the geo-localization results in the case where a video stream of ground view images is available. Experimental results show that our proposed Markov localization framework can continuously localize the vehicle within a small error on our Singapore dataset.
Mitochondria perform central functions in cellular bioenergetics, metabolism, and signaling, and their dysfunction has been linked to numerous diseases. The available studies cover only part of the ...mitochondrial proteome, and a separation of core mitochondrial proteins from associated fractions has not been achieved. We developed an integrative experimental approach to define the proteome of yeast mitochondria. We classified > 3,300 proteins of mitochondria and mitochondria-associated fractions and defined 901 high-confidence mitochondrial proteins, expanding the set of mitochondrial proteins by 82. Our analysis includes protein abundance under fermentable and nonfermentable growth, submitochondrial localization, single-protein experiments, and subcellular classification of mitochondria-associated fractions. We identified mitochondrial interactors of respiratory chain supercomplexes, ATP synthase, AAA proteases, the mitochondrial contact site and cristae organizing system (MICOS), and the coenzyme Q biosynthesis cluster, as well as mitochondrial proteins with dual cellular localization. The integrative proteome provides a high-confidence source for the characterization of physiological and pathophysiological functions of mitochondria and their integration into the cellular environment.
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•Classification of > 3,300 proteins of mitochondria and associated fractions•High-confidence mitochondrial proteome with absolute quantification and topology•Interactors of oxidative phosphorylation complexes and cristae organizing system•Identification of system linking respiratory chain and AAA quality control
Morgenstern et al. describe an integrative organelle proteomics analysis to define the mitochondrial proteome in baker’s yeast. The study provides a quantitative footprint of the proteome and its dynamics under different conditions. The results expand the set of proteins assigned to the mitochondria and provide a resource for future mitochondrial research.
3-D Mapping With an RGB-D Camera Endres, Felix; Hess, Jurgen; Sturm, Jurgen ...
IEEE transactions on robotics,
02/2014, Letnik:
30, Številka:
1
Journal Article
Recenzirano
In this paper, we present a novel mapping system that robustly generates highly accurate 3-D maps using an RGB-D camera. Our approach requires no further sensors or odometry. With the availability of ...low-cost and light-weight RGB-D sensors such as the Microsoft Kinect, our approach applies to small domestic robots such as vacuum cleaners, as well as flying robots such as quadrocopters. Furthermore, our system can also be used for free-hand reconstruction of detailed 3-D models. In addition to the system itself, we present a thorough experimental evaluation on a publicly available benchmark dataset. We analyze and discuss the influence of several parameters such as the choice of the feature descriptor, the number of visual features, and validation methods. The results of the experiments demonstrate that our system can robustly deal with challenging scenarios such as fast camera motions and feature-poor environments while being fast enough for online operation. Our system is fully available as open source and has already been widely adopted by the robotics community.
The growing commercial interest in indoor location-based services (ILBS) has spurred recent development of many indoor positioning techniques. Due to the absence of Global Positioning System (GPS) ...signal, many other signals have been proposed for indoor usage. Among them, Wi-Fi (802.11) emerges as a promising one due to the pervasive deployment of wireless LANs (WLANs). In particular, Wi-Fi fingerprinting has been attracting much attention recently because it does not require line-of-sight measurement of access points (APs) and achieves high applicability in complex indoor environment. This survey overviews recent advances on two major areas of Wi-Fi fingerprint localization: advanced localization techniques and efficient system deployment. Regarding advanced techniques to localize users, we present how to make use of temporal or spatial signal patterns, user collaboration, and motion sensors. Regarding efficient system deployment, we discuss recent advances on reducing offline labor-intensive survey, adapting to fingerprint changes, calibrating heterogeneous devices for signal collection, and achieving energy efficiency for smartphones. We study and compare the approaches through our deployment experiences, and discuss some future directions.
Recent studies point towards nontriviality of the ergodic phase in systems exhibiting many‐body localization (MBL), which shows subexponential relaxation of local observables, subdiffusive transport ...and sublinear spreading of the entanglement entropy. Here we review the dynamical properties of this phase and the available numerically exact and approximate methods for its study. We discuss in which sense this phase could be considered ergodic and present possible phenomenological explanations of its dynamical properties. We close by analyzing to which extent the proposed explanations were verified by numerical studies and present the open questions in this field.
The authors discuss the question of ergodicity and thermalization in disordered, interacting and isolated quantum systems, exhibiting many body localization at strong disorder. For weak disorder, such systems are ergodic and thermalize, however display anomalous static and dynamical properties. In this review the authors survey the literature and the available numerical techniques to study the ergodic phase preceding many body localization and elaborate on the notion of ergodicity in isolated quantum systems.
Pose Estimation for Augmented Reality: A Hands-On Survey Marchand, Eric; Uchiyama, Hideaki; Spindler, Fabien
IEEE transactions on visualization and computer graphics,
2016-Dec.-1, 2016-12-00, 2016-12-1, 20161201, 2016-12, Letnik:
22, Številka:
12
Journal Article
Recenzirano
Odprti dostop
Augmented reality (AR) allows to seamlessly insert virtual objects in an image sequence. In order to accomplish this goal, it is important that synthetic elements are rendered and aligned in the ...scene in an accurate and visually acceptable way. The solution of this problem can be related to a pose estimation or, equivalently, a camera localization process. This paper aims at presenting a brief but almost self-contented introduction to the most important approaches dedicated to vision-based camera localization along with a survey of several extension proposed in the recent years. For most of the presented approaches, we also provide links to code of short examples. This should allow readers to easily bridge the gap between theoretical aspects and practical implementations.
Because Arabic video game localization is a relatively new area of study, little in-depth research has been done on the topic within Arabic translation studies. The few articles that address video ...game localization in Arabic remain limited, either due to examining a single video game and its various localization issues, or examining various games but considering the transfer of their linguistic assets only. This paper aims to address the existing gaps in Arabic video game localization studies by delving into multiple video games localized into Arabic, and analysing the technical, linguistic, and cultural issues found within them. Technical issues are related to the Arabic script, video game variables, and subtitling conventions. Linguistic issues, on the other hand, include Arabic video game terminology and acronyms as well as the translation of proper names and NPCs' titles into Arabic. Lastly, the paper discusses cultural challenges that arise when localizing video games into Arabic, such as how to navigate nudity, profanity, and alcohol. The paper concludes by calling for more research into the area of video game localization. Such research should not only flag linguistic, cultural, and technical issues but also establish a body of literature that would help practitioners and video game developers provide a more authentic, unique gaming experience for Arab gamers.
Image and Object Geo-Localization Wilson, Daniel; Zhang, Xiaohan; Sultani, Waqas ...
International journal of computer vision,
04/2024, Letnik:
132, Številka:
4
Journal Article
Recenzirano
The concept of geo-localization broadly refers to the process of determining an entity’s geographical location, typically in the form of Global Positioning System (GPS) coordinates. The entity of ...interest may be an image, a sequence of images, a video, a satellite image, or even objects visible within the image. Recently, massive datasets of GPS-tagged media have become available due to smartphones and the internet, and deep learning has risen to prominence and enhanced the performance capabilities of machine learning models. These developments have enabled the rise of image and object geo-localization, which has impacted a wide range of applications such as augmented reality, robotics, self-driving vehicles, road maintenance, and 3D reconstruction. This paper provides a comprehensive survey of visual geo-localization, which may involve either determining the location at which an image has been captured (image geo-localization) or geolocating objects within an image (object geo-localization). We will provide an in-depth study of visual geo-localization including a summary of popular algorithms, a description of proposed datasets, and an analysis of performance results to illustrate the current state of the field.
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