Fast Landmark Localization with 3D Component Reconstruction and CNN for Cross-Pose Recognition

Two approaches are proposed for cross-pose face recognition, one is based on the 3D reconstruction of facial components and the other is based on the deep Convolutional Neural Network (CNN). Unlike most 3D approaches that consider holistic faces, the proposed approach considers 3D facial components. It segments a 2D gallery face into components, reconstructs the 3D surface for each component, and recognizes a probe face by component features. The segmentation is based on the landmarks located by a hierarchical algorithm that combines the Faster R-CNN for face detection and the Reduced Tree Structured Model for landmark localization. The core part of the CNN-based approach is a revised VGG network. We study the performances with different settings on the training set, including the synthesized data from 3D reconstruction, the real-life data from an in-the-wild database, and both types of data combined. We investigate the performances of the network when it is employed as a classifier or designed as a feature extractor. The two recognition approaches and the fast landmark localization are evaluated in extensive experiments, and compared to stateof-the-art methods to demonstrate their efficacy.Comment: 14 pages, 12 figures, 4 table

Quality included qualitative study.

The COVID-19 pandemic has a significant impact on the health and well-being of all healthcare professionals. However, for ambulance care professionals it is unknown on which health outcomes the impact of COVID-19 is measured, and what the actual impact on these health outcomes is. Therefore, the aim of this study was to gain insight in a) which type of health outcomes were measured in relation to the impact of COVID-19 among ambulance care professionals, and b) to determine the actual impact on these outcomes. A rapid review was performed in PubMed (including MEDLINE) and APA PsycInfo (EBSCO). All types of study designs on health and well-being of ambulance care professionals were included. Selection on title an abstract was performed by pairs of two reviewers. Full text selection, data extraction and quality assessment were performed by one reviewer, with a check by a second independent reviewer. The systematic searches identified 3906 unique hits, seven articles meeting selection criteria were included. Six studies quantitatively measured distress (36,0%) and PTSD (18.5%-30.9%), anxiety (14.2%-65.6%), depression (12.4%-15.3%), insomnia (60.9%), fear of infection and transmission of infection (41%-68%), and psychological burden (49.4%-92.2%). These studies used a variety of instruments, ranging from internationally validated instruments to self-developed and unvalidated questionnaires. One study qualitatively explored coping with COVID-19 by ambulance care professionals and reported that ambulance care professionals use five different strategies to cope with the impact of COVID-19. There is limited attention for the health and well-being of ambulance care professionals during the COVID-19 pandemic. Although the included number of studies and included outcomes are too limited to draw strong conclusions, our results indicate higher rates of distress, PTSD and insomnia compared to the pre-COVID-19 era. Our results urge the need to investigate the health and well-being of ambulance care professionals during and after the COVID-19 pandemic.</div

Quality included quantitative studies.

The COVID-19 pandemic has a significant impact on the health and well-being of all healthcare professionals. However, for ambulance care professionals it is unknown on which health outcomes the impact of COVID-19 is measured, and what the actual impact on these health outcomes is. Therefore, the aim of this study was to gain insight in a) which type of health outcomes were measured in relation to the impact of COVID-19 among ambulance care professionals, and b) to determine the actual impact on these outcomes. A rapid review was performed in PubMed (including MEDLINE) and APA PsycInfo (EBSCO). All types of study designs on health and well-being of ambulance care professionals were included. Selection on title an abstract was performed by pairs of two reviewers. Full text selection, data extraction and quality assessment were performed by one reviewer, with a check by a second independent reviewer. The systematic searches identified 3906 unique hits, seven articles meeting selection criteria were included. Six studies quantitatively measured distress (36,0%) and PTSD (18.5%-30.9%), anxiety (14.2%-65.6%), depression (12.4%-15.3%), insomnia (60.9%), fear of infection and transmission of infection (41%-68%), and psychological burden (49.4%-92.2%). These studies used a variety of instruments, ranging from internationally validated instruments to self-developed and unvalidated questionnaires. One study qualitatively explored coping with COVID-19 by ambulance care professionals and reported that ambulance care professionals use five different strategies to cope with the impact of COVID-19. There is limited attention for the health and well-being of ambulance care professionals during the COVID-19 pandemic. Although the included number of studies and included outcomes are too limited to draw strong conclusions, our results indicate higher rates of distress, PTSD and insomnia compared to the pre-COVID-19 era. Our results urge the need to investigate the health and well-being of ambulance care professionals during and after the COVID-19 pandemic.</div