论文标题
Volkit：3D体积数据的性能 - 可携带的计算机视觉库
Volkit: A Performance-Portable Computer Vision Library for 3D Volumetric Data
论文作者
论文摘要
我们提出Volkit，这是一个开源库，具有高性能操纵和计算机视觉算法的高性能实现，该算法的重点是3D体积表示。 Volkit实现了针对CPU和GPU的跨平台，可履行的API，该API既可以抗拒数据和资源移动，并使用托管API将其隐藏在应用程序开发人员之外。我们使用Volkit处理在VR中渲染的医疗和仿真数据，因此将库集成到C ++虚拟现实软件CALVR中。本文提出了案例研究和绩效结果，这证明了图书馆的有效性和这种方法的效率。
We present volkit, an open source library with high performance implementations of image manipulation and computer vision algorithms that focus on 3D volumetric representations. Volkit implements a cross-platform, performance-portable API targeting both CPUs and GPUs that defers data and resource movement and hides them from the application developer using a managed API. We use volkit to process medical and simulation data that is rendered in VR and consequently integrated the library into the C++ virtual reality software CalVR. The paper presents case studies and performance results and by that demonstrates the library's effectiveness and the efficiency of this approach.
