A shadow is created when an object lies in the path of a light source. Shadows are cast by the occluding object, or the object itself can be shaded; a phenomenon known as “self-shading”. Due to the difference between the light intensity reaching a shaded region and a directly lit region, shadows are often characterized by strong brightness gradients. While non-shadow regions are illuminated by ...

We present a system for detecting shadows in dynamic outdoor scenes. The technique is based on fusing background subtraction operations performed on both color and disparity data, respectively. A simple geometrical analysis results in an ability to classify pixels into foreground, shadow candidate, and background. The shadow candidates are further refined by analyzing displacements in log chrom...

Real-Time (60fps @ 1920x1200) Shadows Produced Using Our Algorithm Variance shadow maps (VSMs) provide an e cient way to produce highquality, ltered shadows in real-time, but su er from light bleeding artifacts. Layered variance shadow maps automatically partition the depth range into multiple layers, which alleviates or eliminates light bleeding artifacts. Compared to VSMs, LVSMs: • Reduce or ...

We present a new method for computing shadows from semitransparent objects like hair. Extending the concept of opacity shadow maps, the deep opacity map method uses a depth map to obtain a per pixel distribution of opacity layers. This approach totally eliminates the layering artifacts of opacity shadow maps and requires much fewer layers to achieve high quality shadow computation. We provide q...

This paper presents a purely hardware-accelerated shadow volume algorithm for subdivision surface based models. By introducing SP (subdivision patterns), all procedures, including subdivision evaluation, silhouette extraction, shadow volume generation, and shadow rendering are executed on GPU (Graphics Process Units) efficiently. This not only alleviates the burden of CPU, but also guarantees t...

This paper presents a classification framework for extracting buildings from polarimetric SAR (PolSAR) data. Buildings in SAR data are generally composed of layover and shadow regions. First, mean shift bottom-up segmentation approach divides a SAR image into small homogeneous patches. Then conditional random fields (CRF) framework is applied to classify the patches into layover, shadow and oth...

Moving object detection is an important task in real-time video surveillance. However, in real scenario, moving cast shadows associated with moving objects may also be detected, making moving cast shadow detection a challenge for video surveillance. In this paper, we propose an adaptive shadow detection method based on the cast shadow model. The method combines ratio edge and ratio brightness, ...

Shadow art is a practice of arranging objects in space to produce surprising shadow. Creating such an art piece has always been labor intensive and time consuming, through trial-and-error methods. Indeed, the time complexity of solving the shadows art problem is inevitably NP hard. In this work, we present a computational method that determines a 2D arrangement of 3D objects to produce a desire...

A single shadow driver is written for each device class, implementing the same interface to the operating system that a driver for a real device does. A shadow runs silently alongside each real driver, observing requests, until failure is detected by the OS. This triggers a restart of the real driver, while the shadow temporarily assumes responsibility for spoofing it and handling application r...

The key to shadow removal is recovering the contents of regions with guidance non-shadow regions. Due inadequate long-range modeling, CNN-based approaches cannot thoroughly investigate information from To solve this problem, we propose a novel cleanness-navigated-shadow network (CNSNet), shadow-oriented adaptive normalization (SOAN) module and shadow-aware aggregation transformer (SAAT) based o...