We evaluate unguided and guided visual search performance for a set of techniques that mitigate occlusion between physical and virtual objects on a tabletop display. The techniques are derived from a general model of hybrid physical/virtual occlusion, and take increasingly drastic measures to make the user aware of, identify, and access hidden objects—but with increasingly space-consuming and d...

Ambient occlusion (AO) provides an effective approximation to global illumination that enjoys widespread use amongst practitioners. In this paper, we present a fast easy-to-implement separable approximation to screen space ambient occlusion. Computing occlusion first along a single direction and then transporting this occlusion into a second pass that is stochastically evaluating the final shad...

In this paper, we propose an occlusion detection algorithm which estimates occluded pixels automatically. In order to detect the occlusion, we obtain an initial disparity map with an optimization algorithm based on the modified constant-space belief propagation (CSBP) which has low complexity. The initial disparity map gives us clues for occlusion detection. These clues are the warping constrai...

purpose: to investigate aqueous humor nitric oxide (no) levels in patients with branch retinal vein occlusion (brvo) and central retinal vein occlusion (crvo) and to compare these with age-matched controls. methods: eight consecutive patients with brvo and 16 patients with crvo were included in this study. aqueous humor specimens were obtained within 21 days of diagnosis. samples of aqueous hum...

Primate models are essential tools for translational research in stroke but are reportedly inconsistent in their ability to produce cortical infarcts of reproducible size. Here, we report a new stroke model using a transorbital, reversible, two-vessel occlusion approach in male rhesus macaques that produces consistent and reproducible cortical infarcts. The right middle cerebral artery (distal ...

Feedforward neural networks provide the dominant model of how the brain performs visual object recognition. However, these networks lack the lateral and feedback connections, and the resulting recurrent neuronal dynamics, of the ventral visual pathway in the human and non-human primate brain. Here we investigate recurrent convolutional neural networks with bottom-up (B), lateral (L), and top-do...

The goal of this study was to develop a clinically relevant non-human primate (baboon) stroke model and multi-parametric MRI protocols on a clinical scanner with long-term goals to better model human stroke and facilitate clinical translations of novel therapeutic strategies. Baboons were chosen because of their relatively large brain volume and that they are evolutionarily close to humans. Mid...

the aim of this paper is to examine and analyze the spatial distribution of population in cities of the southern coastal region of iran by using common models and techniques in the field and to study the trends of evolution in a time period of 40 years (1345-1385). models used in the study can be classified into three main groups. the first group is the primate city indexes (including jefferson...

BACKGROUND AND PURPOSE Peri-infarct depolarizations (PIDs) that occur in ischemic boundary zones of the cerebral cortex of experimental animals have been shown to promote rather than simply to indicate the evolution of the lesion and are especially prominent in the rat. To study the influence of one factor, species, on PID incidence, we compared the frequency of PIDs in a primate species, the s...

In this paper, we study the characterization of multiple motions from the standpoint of orientation in spatiotemporal volume. Using the fact that multiple motions are equivalent to multiple planes in the derivative space or in the spectral domain, we apply a new 3D steerable filter for motion estimation. This new method is based on the decomposition of the sphere with a set of overlapping basis...