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    Separation

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    Single-shot layered reflectance separation using a polarized light field camera

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    We present a novel computational photography technique for single shot separation of diffuse/specular reflectance as well as novel angular domain separation of layered reflectance. Our solution consists of a two-way polarized light field (TPLF) camera which simultaneously captures two orthogonal states of polarization. A single photograph of a subject acquired with the TPLF camera under polarized illumination then enables standard separation of diffuse (depolarizing) and polarization preserving specular reflectance using light field sampling. We further demonstrate that the acquired data also enables novel angular separation of layered reflectance including separation of specular reflectance and single scattering in the polarization preserving component, and separation of shallow scattering from deep scattering in the depolarizing component. We apply our approach for efficient acquisition of facial reflectance including diffuse and specular normal maps, and novel separation of photometric normals into layered reflectance normals for layered facial renderings. We demonstrate our proposed single shot layered reflectance separation to be comparable to an existing multi-shot technique that relies on structured lighting while achieving separation results under a variety of illumination conditions

    Separation anxiety in families with emerging adults

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    In several developmental theories separation anxiety has been identified as an important feature of close interpersonal relationships. Most often, separation anxiety has been examined in the context of mother-child dyads in infancy. Increasingly, however, it is recognized that separation anxiety is also relevant in other relationships (e.g., the father-child relationship) and in later developmental periods (e.g., adolescence and emerging adulthood). The present study aimed to investigate separation anxiety at the family level in families with emerging adults. By using the Social Relations Model, we aimed to determine the extent to which the actor, the partner, their specific relationships, and the family contribute to separation anxiety in dyadic family relationships. A total of 119 Belgian two-parent families with an emerging adult participated in a round-robin design, in which family members reported on their feelings of separation anxiety towards each other. Findings showed that separation anxiety can be represented as a personality attribute (i.e., an actor effect) and as a specific feature of the mother-child dyad. Further, findings indicate that separation anxiety is also characteristic of the father-mother marital relationship and of the family climate as a whole. Implications for the meaning of separation anxiety and clinical practice are discussed

    Figure-Ground Separation

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    Air Force Office of Scientific Research (F49620-92-J-0499); Advanced Research Projects Agency (ONR N00014-92-J-4015); Office of Naval Research (N00014-91-J-4100

    Separation simulator Patent

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    Electrical circuit selection device for simulating stage separation of flight vehicl

    Acoustic particle separation

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    A method is described which uses acoustic energy to separate particles of different sizes, densities, or the like. The method includes applying acoustic energy resonant to a chamber containing a liquid of gaseous medium to set up a standing wave pattern that includes a force potential well wherein particles within the well are urged towards the center, or position of minimum force potential. A group of particles to be separated is placed in the chamber, while a non-acoustic force such as gravity is applied, so that the particles separate with the larger or denser particles moving away from the center of the well to a position near its edge and progressively smaller lighter particles moving progressively closer to the center of the well. Particles are removed from different positions within the well, so that particles are separated according to the positions they occupy in the well
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