1,288 research outputs found

    Semantically Guided Depth Upsampling

    Full text link
    We present a novel method for accurate and efficient up- sampling of sparse depth data, guided by high-resolution imagery. Our approach goes beyond the use of intensity cues only and additionally exploits object boundary cues through structured edge detection and semantic scene labeling for guidance. Both cues are combined within a geodesic distance measure that allows for boundary-preserving depth in- terpolation while utilizing local context. We model the observed scene structure by locally planar elements and formulate the upsampling task as a global energy minimization problem. Our method determines glob- ally consistent solutions and preserves fine details and sharp depth bound- aries. In our experiments on several public datasets at different levels of application, we demonstrate superior performance of our approach over the state-of-the-art, even for very sparse measurements.Comment: German Conference on Pattern Recognition 2016 (Oral

    High‐Intensity Laser Triggered Proton Acceleration from Ultrathin Foils

    Full text link
    The recently developed PIC code MANDOR features arbitrary target design including 3D preplasma and the 6‐component laser fields of a tightly focused laser beam. The 3D simulations have been performed to model recent HERCULES experiments on proton acceleration, where protons with energy greater than 20 MeV were produced using just 1.5 J laser pulses focused to intensity of 2 × 10 21 W/cm 2 . By adapting the 3D target geometry relating to ps‐prepulse effect, reasonable agreement with experimental data for the proton energy spectrum has been achieved. The effect of the 3D preplasma shape on efficiency of proton acceleration is discussed. (© 2013 WILEY‐VCH Verlag GmbH & Co. KGaA, Weinheim)Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/96347/1/161_ftp.pd

    Partially obscured human detection based on component detectors using multiple feature descriptors

    Get PDF
    This paper presents a human detection system based on component detector using multiple feature descriptors. The contribution presents two issues for dealing with the problem of partially obscured human. First, it presents the extension of feature descriptors using multiple scales based Histograms of Oriented Gradients (HOG) and parallelogram based Haar-like feature (PHF) for improving the accuracy of the system. By using multiple scales based HOG, an extensive feature space allows obtaining high-discriminated features. Otherwise, the PHF is adaptive limb shapes of human in fast computing feature. Second, learning system using boosting classifications based approach is used for training and detecting the partially obscured human. The advantage of boosting is constructing a strong classification by combining a set of weak classifiers. However, the performance of boosting depends on the kernel of weak classifier. Therefore, the hybrid algorithms based on AdaBoost and SVM using the proposed feature descriptors is one of solutions for robust human detection.This paper presents a human detection system based on component detector using multiple feature descriptors. The contribution presents two issues for dealing with the problem of partially obscured human. First, it presents the extension of feature descriptors using multiple scales based Histograms of Oriented Gradients (HOG) and parallelogram based Haar-like feature (PHF) for improving the accuracy of the system. By using multiple scales based HOG, an extensive feature space allows obtaining high-discriminated features. Otherwise, the PHF is adaptive limb shapes of human in fast computing feature. Second, learning system using boosting classifications based approach is used for training and detecting the partially obscured human. The advantage of boosting is constructing a strong classification by combining a set of weak classifiers. However, the performance of boosting depends on the kernel of weak classifier. Therefore, the hybrid algorithms based on AdaBoost and SVM using the proposed feature descriptors is one of solutions for robust human detection

    A biopsychosocial perspective on maternal psychopathology and the development of child emotion regulation

    Get PDF
    In this commentary, the authors note that Gratz and colleagues (2014) have made an important step in understanding the effect of maternal borderline personality (BP) pathology on children's developing emotion regulation. The emphasis on mechanisms of transmission in their article has implications for our understanding of the relationships between parental mental health and child functioning more generally. The authors of the commentary argue that using a biopsychosocial framework to understand the multiple levels that characterize the developmental system will push this kind of focus on behavioral mechanisms a step further. A biopsychosocial framework implies that a set of hierarchically organized, but reciprocally interacting, processes, from the genetic to the environmental, provide the essential elements of development (Gottlieb, 2007). Thus, in studying the effects of maternal BP pathology on child outcomes, consideration may also be given to the role of underlying biological processes that are influenced by maternal functioning and may alter child outcomes. Challenges to using this general approach in studying the effects of parental psychopathology are discussed

    Developmental cascade and transactional associations among infant biological and behavioral indicators of temperament and maternal behavior

    Get PDF
    An empirical model of temperament that assessed transactional and cascade associations between respiratory sinus arrhythmia (RSA), negative affectivity, and the caregiving environment (i.e., maternal intrusiveness) across three time points during infancy (N = 388) was examined. Negative affectivity at 5 months was associated positively with maternal intrusiveness at 10 months, which in turn predicted increased negative affectivity at 24 months. RSA at 5 months was associated positively with negative affectivity at 10 months, which subsequently predicted greater RSA at 24 months. Finally, greater RSA at 5 months predicted greater negative affectivity at 10 months, which in turn predicted greater maternal intrusiveness at 24 months. Results are discussed from a biopsychosocial perspective of development

    Temperamental vulnerability to emotion dysregulation and risk for mental and physical health challenges

    Get PDF
    Emotion dysregulation characterizes many forms of psychopathology. Patterns of dysregulation occur as a function of a developmental process in which normative and adaptive emotion regulation skills fail to become part of the child's behavioral repertoire due to biological, psychological, and contextual processes and experiences. Here we highlight the processes involved in the dysregulation of temperamental anger and frustration that become core features of externalizing problems and place children at risk for more serious forms of psychopathology. We imbed these processes in a larger self-regulatory framework, and we discuss how they influence mental as well as physical health, using data from our 20-year longitudinal study following a large cohort of children into young adulthood. Recommendations are made for future research involving the integration of biological systems with mental and physical health outcomes

    X-ray phase contrast imaging of biological specimens with tabletop synchrotron radiation

    Get PDF
    Since their discovery in 1896, x-rays have had a profound impact on science, medicine and technology. Here we show that the x-rays from a novel tabletop source of bright coherent synchrotron radiation can be applied to phase contrast imaging of biological specimens, yielding superior image quality and avoiding the need for scarce or expensive conventional sources

    Faktor-Faktor Yang Mempengaruhi Mahasiswa Tingkat III Semester V Dalam Menyelesaikan Target Pasien Komprehensif Di Klinik Pendidikan Jurusan Kesehatan Gigi Kupang

    Get PDF
    Pelayanan asuhan kesehatan gigi dan mulut diberikan kepada masyarakat yang bersifat komprehensif berupa kegiatan promotif, tindakan preventif dan kuratif sederhana, menyelesaikan hygiene pemeliharaan alat-alat kedokteran gigi dan lingkungan kerja. Untuk mengetahui faktor-faktor yang mempengaruhi mahasiswa tingkat III semester V dalam menyelesaikan target pasien komprehensif di klinik pendidikan jurusan kesehatan gigi kupang. Jenis penelitian ini menggunakan penelitian deskriptif yaitu penelitian yang dilakukan dengan tujuan untuk mendapatkan gambaran tentang jumlah mahasiswa yang mengerjakan pasien komprehensif di Klinik Pendidikan Jurusan Kesehatan Gigi Kupang. Motivasi mahasiswa dalam menyelesaikan target pasien komprehensif gigi dan mulut termasuk kategori baik (68,3%), pengetahuan mahasiswa dalam pelayanan asuhan keperawatan gigi dan mulut termasuk kategori kurang (40,5%), tingkat kooperatif pasien dalam pelayanan asuhan kesehatan gigi dan mulut termasuk kategori baik (68,3%). Motivasi mahasiswa dalam menyelesaikan target pasien komprehensif termasuk kategori baik (68,3%) karena mahasiswa berada pada usia kematangan dimana mahasiswa harus berusaha dalam menyelesaiakan target praktikum yang sedang dihadapi. Saran : Meningkatkan kemampuan dan keterampilan peserta didik dengan lebih memperbanyak praktikum serta meningkatkan mutu pelayanan di klinik

    Self-regulation as a predictor of patterns of change in externalizing behaviors from infancy to adolescence

    Get PDF
    We examined associations between specific self-regulatory mechanisms and externalizing behavior patterns from ages 2 to 15 (N = 443). The relation between multiple self-regulatory indicators across multiple domains (i.e., physiological, attentional, emotional, and behavioral) at age 2 and at age 5 and group membership in four distinct externalizing trajectories was examined. By examining each of these self-regulatory processes in combination with one another, and therefore accounting for their shared variance, we aimed to better understand which specific self-regulatory skills were associated most strongly with externalizing behavioral patterns. Findings suggest that behavioral inhibitory control and emotion regulation are particularly important in distinguishing between children who show normative declines in externalizing behaviors across early childhood and those who demonstrate high levels through adolescence
    corecore