Shadowcopy: A Python-Based Shadow Volume Enumeration and Digest Tool

2011 ◽  
Author(s):  
Mike Horn
Keyword(s):  
Shadow Volume

An Improved Physically-Based Soft Shadow Volume Algorithm

2006 ◽  
Vol 25 (3) ◽  
pp. 303-312 ◽  
Author(s):  
Jaakko Lehtinen ◽  
Samuli Laine ◽  
Timo Aila
Keyword(s):  
Soft Shadow ◽  
Physically Based ◽  
Volume Algorithm ◽  
Shadow Volume

Mitigating the effects of boom occlusion on automated aerial refueling through shadow volumes

2018 ◽  
Vol 16 (2) ◽  
pp. 175-189 ◽  
Author(s):  
Zachary Paulson ◽  
Scott Nykl ◽  
John Pecarina ◽  
Brian Woolley
Keyword(s):  
Air Force ◽  
High Frequency ◽  
United States Air Force ◽  
Vision System ◽  
The United States ◽  
Negative Effects ◽  
Aerial Refueling ◽  
Vision Processing ◽  
Shadow Volume ◽  
Naive Approach

In-flight refueling of unmanned aerial vehicles (UAVs) is critical to the United States Air Force (USAF). However, the large communication latency between a ground-based operator and his/her remote UAV makes docking with a refueling tanker unsafe. This latency may be mitigated by leveraging a tanker-centric stereo vision system. The vision system observes and computes an approaching receiver’s relative position and orientation offering a low-latency, high frequency docking solution. Unfortunately, the boom – an articulated refueling arm responsible for physically pumping fuel into the receiver – occludes large portions of the receiver especially as the receiver approaches and docks with the tanker. The vision system must be able to compensate for the boom’s occlusion of the receiver aircraft. We present a novel algorithm for mitigating the negative effects of boom occlusion in stereo-based aerial environments. Our algorithm dynamically compensates for occluded receiver geometry by transforming the occluded areas into shadow volumes. These shadow volumes are then used to cull hidden geometry that is traditionally consumed, in error, by the vision processing and point registration pipeline. Our algorithm improves computer-vision pose estimates by 44% over a naïve approach without shadow volume culling.

The Research and Implementation of Illumination Technology in the 3D GIS Visualization

2010 ◽  
Vol 171-172 ◽  
pp. 288-294
Author(s):  
Dong Wei ◽  
Hong Bi Geng
Keyword(s):  
Fixed Point ◽  
Global Illumination ◽  
3D Gis ◽  
Illumination Model ◽  
Basic Model ◽  
Reflection Model ◽  
Volume Algorithm ◽  
Shadow Volume ◽  
Global And Local ◽  
Selection Of

Building mountains as the basic model for illumination model in the system of 3DGIS visualization. The establishing of this model adopts the approach of the global illumination model combine with the local reflection model and also the combination of shading and shadow. Complete the drawing of the shadow in the global illumination model ,using the shadow algorithm of Ray tracing as the main algorithm for drawing shadow, take advantage of shadow volume algorithm as the additional algorithm for shadow; complete the drawing of the shading in the local reflection model ,using the Blinn proportion algorithm as the main algorithm. Select the single ideal fixed point source as the light source of the illumination model. The results of this experimental show that the approach of combination of global and local model is feasible, the selection of the shadow and shading algorithms are also can reference.

Survey of Shadow Volume Algorithms in Computer Graphics

2013 ◽  
Vol 30 (1) ◽  
pp. 38 ◽  
Author(s):  
Hoshang Kolivand ◽  
Mohd Shahrizal Sunar
Keyword(s):  
Computer Graphics ◽  
Shadow Volume

Shadow Volume in real-time rendering

2011 ◽  
Author(s):  
Abdelmoumene Zerari ◽  
Mohamed Chaouki Babahenini
Keyword(s):  
Real Time ◽  
Shadow Volume

Dynamic Shadow Rendering with Shadow Volume Optimization

2020 ◽  
pp. 96-106
Author(s):  
Zhibo Fu ◽  
Han Zhang ◽  
Ran Wang ◽  
Zhen Li ◽  
Po Yang ◽  
...  
Keyword(s):  
Shadow Volume

On the Degree of Vertices in a Shadow Volume Silhouette

2003 ◽  
Vol 8 (4) ◽  
pp. 21-24 ◽  
Author(s):  
Tomas Akenine-Möller ◽  
Ulf Assarsson
Keyword(s):  
Shadow Volume

Shadow volume reconstruction from depth maps

2000 ◽  
Vol 19 (1) ◽  
pp. 1-26 ◽  
Author(s):  
Michael D. McCool
Keyword(s):  
Volume Reconstruction ◽  
Depth Maps ◽  
Shadow Volume

A comparison of three shadow volume algorithms

1992 ◽  
Vol 9 (1) ◽  
pp. 25-38 ◽  
Author(s):  
Mel Slater
Keyword(s):  
Shadow Volume
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