Shadow mapping has been extensively used for real-time shadow rendering in 3D computer games, though it suffers from the inherent aliasing problems due to its image-based nature. The aliasing errors in shadow mapping consist of perspective aliasing error and projection aliasing error. In this paper, we propose a novel shadow-map reparameterization to reduce perspective aliasing for varying view...

In this paper we abandon the regular structure of shadow maps. Instead, we transform the visible pixels P(x,y,z) from screen space to the image plane of a light source P′(x′,y′,z′). The (x′,y′) are then used as sampling points when the geometry is rasterized into the shadow map. This eliminates the resolution issues that have plagued shadow maps for decades, e.g., jagged shadow boundaries. Inco...

An asset network systemic risk (ANWSER) model is presented to investigate the impact of how shadow banks are intermingled in a financial system on the severity of financial contagion. Particularly, the focus of this study is the impact of the following three representative topologies of an interbank loan network between shadow banks and regulated banks. (1) Random mixing network: shadow banks a...

Tightening financial regulation squeezes banking activities into the shadow banking sector, which may hurt financial stability and production (Plantin, 2014). Unlike Plantin’s work, we investigate regulations that reduce banks’ leverage and dampen financial amplification effects. Moreover, our paper studies the trade-off between economic growth and financial stability in light of shadow banking...

This paper presents a model of shadow banking in which the shadow and the traditional banking systems share a symbiotic relationship. The analysis shows that competition with an opaque and fragile shadow bank can bene…t the traditional bank, especially when the traditional bank faces liquidity risk stemming from collective actions by investors, such as runs. The opacity and fragility of the sha...

This paper presents a method that combines shadow detection and a 3D box model including shadow simulation, for estimation of size and position of vehicles. We define a similarity measure between a simulated image of a 3D box, including the box shadow, and a captured image that is classified into background/foreground/shadow. The similarity measure is used in an optimization procedure to find t...

Shadows are physical phenomena observed in most natural scenes. They can cause many problems in computer vision performance. The paper addresses the problem of shadow detection and removal from solo image of natural scenes. Our method is based on Retinex theory which is an image enhancement and illumination compensation model of the lightness and color perception of human vision. The approach p...

We propose a novel shadow texture generation method with linear processing time using a shadow depth buffer (SZ-Buffer). We also present a method that achieves further speedup using temporal coherence. If the transition between dynamic and static state is not frequent, depth values of static objects does not vary significantly. So we can reuse the depth value for static objects and render only ...

We present a method, based on Haines' shadow caches, for accelerating shadow ray calculations for Tay tracing processes which use spatial subdivision and surface tessellation. Trees of shadow voxel caches, containing references to both objects and voxels, are used to quickly determine whether or not a surface lies in shadow. This method does not require an additional preprocessing stage before ...

In recent years, various shadow detection methods from a single image have been proposed and used in vision systems; however, most of them are not appropriate for the robotic applications due to the expensive time complexity. This paper introduces a fast shadow detection method using a deep learning framework, with a time cost that is appropriate for robotic applications. In our solution, we fi...