3D ShapeNets: A Deep Representation for Volumetric Shapes

3D shape is a crucial but heavily underutilized cue in today's computer vision systems, mostly due to the lack of a good generic shape representation. With the recent availability of inexpensive 2.5D depth sensors (e.g. Microsoft Kinect), it is becoming increasingly important to have a powerful 3D shape representation in the loop. Apart from category recognition, recovering full 3D shapes from view-based 2.5D depth maps is also a critical part of visual understanding. To this end, we propose to represent a geometric 3D shape as a probability distribution of binary variables on a 3D voxel grid, using a Convolutional Deep Belief Network. Our model, 3D ShapeNets, learns the distribution of complex 3D shapes across different object categories and arbitrary poses from raw CAD data, and discovers hierarchical compositional part representations automatically. It naturally supports joint object recognition and shape completion from 2.5D depth maps, and it enables active object recognition through view planning. To train our 3D deep learning model, we construct ModelNet -- a large-scale 3D CAD model dataset. Extensive experiments show that our 3D deep representation enables significant performance improvement over the-state-of-the-arts in a variety of tasks.Comment: to be appeared in CVPR 201

Issues in the development of advance directives in mental health care

<i>Background</i>: Interest in advance directives in mental health care is growing internationally. There is no clear universal agreement as to what such an advance directive is or how it should function. <i>Aim</i>: To describe the range of issues embodied in the development of advance directives in mental health care. <i>Method</i>: The literature on advance directives is examined to highlight the pros and cons of different versions of advance directive. <i>Results</i>: Themes emerged around issues of terminology, competency and consent, the legal status of advance directives independent or collaborative directives and their content. Opinions vary between a unilateral legally enforceable instrument to a care plan agreed between patient and clinician. <i>Conclusion</i>: There is immediate appeal in a liberal democracy that values individual freedom and autonomy in giving weight to advance directives in mental health care. They do not, however, solve all the problems of enforced treatment and early access to treatment. They also raise new issues and highlight persistent problems. <i>Declaration</i> <i>of</i> <i>interest</i>: The research was funded by the Nuffield Foundation grant number MNH/00015G

Water infrastructure and social housing in Bogotá: an intersection between modern water management and social housing production

En la actualidad Bogotá afronta la presión de construir viviendas sociales en ecosistemas frágiles, áreas rurales o zonas propensas a las inundaciones, y al mismo tiempo proteger estas áreas para asegurar la capacidad de resiliencia del medio ambiente. Ante esta contradicción, la pregunta de investigación es: ¿Cómo se pueden modificar las tendencias de urbanización para crear una interacción que favorezca el manejo sustentable del agua? Con el fin de responder esta pregunta ésta comunicación presenta un análisis histórico de planes de alcantarillado y control hidráulico desarrollados desde 1990, junto con una revisión de proyectos de vivienda social representativos, e investiga la interacción entre estos dos campos. El análisis permite definir diferentes etapas en la transformación física del sistema hídrico que se basan en los cambios universales de paradigma en la gestión del agua e ilustra diferentes construcciones socio-culturales en torno a la naturaleza, además analiza la producción de vivienda en relación a la transformación del sistema hídrico.Currently, Bogotá faces the pressure to continue to urbanize fragile ecosystems, rural lands and flood prone areas with low-cost housing projects and simultaneously protect these areas to ensure environmental resilience. Given this contradiction, the question is how urbanization trends could be reversed into a constructive interplay with a revised water management? In order to that, this paper provides an historical analysis of representative water infrastructure projects, urban plans and housing projects in Bogotá developed after 1900 and investigates the interplays between this two realms. The analysis allows to define different stages in the physical transformation of the water system that are based on universal paradigm shifts in water management and illustrates different socio-cultural constructions around nature. It also analysis the production of social housing in relation to the water system transformation

Surrogate Decision-Making Standards for Guardians: Theory and Reality

This Article examines the theoretical and practical implications of the substituted judgment and best interest standards for decision making by guardians. After providing an overview of the current decision-making standards in guardianship statutes, the Article synthesizes theoretical debates about what these standards mean and whether they provide an effective paradigm for surrogate decision makers. The authors then use new survey data to offer conclusions about the degree to which the substituted judgment and best interest standards are understood and meaningfully applied by guardians

Experimental evaluation of anti-stripping additives on porous asphalt mixtures

The open structure of porous asphalt mix influences its strength and durability against air, water and clogging materials. These factors cause loss of adhesion between binder-aggregate interface and loss of cohesion within the binder film. This could lead to stripping problem which contribute to premature failures as well as deterioration in the performance and service life of porous asphalt. Therefore, this study is aimed to evaluate the potential of diatomite as anti-stripping additives in porous asphalt and compared with hydrated lime and Ordinary Portland Cement (OPC). Field Emission Scanning Electron Microscopy (SEM) test and Energy Dispersive X-ray Spectroscopy analysis (EDX) were conducted to investigate the microstructure and chemical composition of the anti-stripping additives. A number of gyratory compacted samples of porous asphalt mixture with Malaysian gradation were prepared. Each sample was incorporated with 2% of anti-stripping additives as filler then mixed with polymer modified bitumen of PG76. The samples were measured for air voids content, permeability rate, resilient modulus and abrasion loss. The results indicate that samples prepared with hydrated lime show higher permeability rate and lower abrasion loss compared to samples with OPC and diatomite. However, the samples prepared with diatomite show enhanced resilient modulus compared to those with hydrated lime and OPC

Spartan Daily, September 9, 1986

Volume 87, Issue 8https://scholarworks.sjsu.edu/spartandaily/7465/thumbnail.jp

VConv-DAE: Deep Volumetric Shape Learning Without Object Labels

With the advent of affordable depth sensors, 3D capture becomes more and more ubiquitous and already has made its way into commercial products. Yet, capturing the geometry or complete shapes of everyday objects using scanning devices (e.g. Kinect) still comes with several challenges that result in noise or even incomplete shapes. Recent success in deep learning has shown how to learn complex shape distributions in a data-driven way from large scale 3D CAD Model collections and to utilize them for 3D processing on volumetric representations and thereby circumventing problems of topology and tessellation. Prior work has shown encouraging results on problems ranging from shape completion to recognition. We provide an analysis of such approaches and discover that training as well as the resulting representation are strongly and unnecessarily tied to the notion of object labels. Thus, we propose a full convolutional volumetric auto encoder that learns volumetric representation from noisy data by estimating the voxel occupancy grids. The proposed method outperforms prior work on challenging tasks like denoising and shape completion. We also show that the obtained deep embedding gives competitive performance when used for classification and promising results for shape interpolation

MARYLAND\u27S NEXT SMART GROWTH INITIATIVE: THE NEXT STEPS

This article discusses Maryland\u27s Smart Growth and Neighborhood Conservation Initiative, the nation\u27s first statewide, incentive-based program to reduce the impact of urban sprawl. It has been used as a model by other states and espouses the notions that no growth is bad and the economy and environment are intertwined. Maryland attempts to change the bottom line of development decisions by making it more attractive and less costly to build in designated growth areas. The article identifies the next steps in Maryland\u27s Smart Growth initiative and concludes that Maryland and the United States must be successful in these and similar efforts to avoid a future of environmental and economic harm as a result of sprawl