Distributed Optimization Framework for Shadow Removal in Multi-Projection Systems
Distributed Optimization Framework for Shadow Removal in Multi-Projection Systems
复制标题
多投影系统中阴影去除的分布式优化框架
DOI：
10.1111/cgf.13085
复制
发表时间：
2017
影响因子：
2.5
通讯作者：
Kenji Kashima
中科院分区：
文献类型：
--
作者：
Jun Tsukamoto;Daisuke Iwai;Kenji Kashima
提出了一种新的基于时空预测的协同投影系统阴影消除方法。在我们以前的工作中，我们提出了一个分布式反馈算法，这是可实现的协作投影环境中的组件之间的数据传输约束。该方案的缺点是在每个像素中独立地进行补偿。结果，即使环境变化的时空信息是可用的，也不能被利用。有鉴于此，我们专门研究了一些投影仪被移动物体遮挡的情况，该物体的一帧前行为是可预测的。为了消除由此产生的阴影，我们提出了一种新的误差传播方案，仍然是可实施的分布式方式，使我们能够将预测信息的障碍。理论和实验表明，该方法显着提高了阴影去除性能相比，以前的工作。
This paper proposes a novel shadow removal technique for cooperative projection system based on spatiotemporal prediction. In our previous work, we proposed a distributed feedback algorithm, which is implementable in cooperative projection environments subject to data transfer constraints between components. A weakness of this scheme is that the compensation is conducted in each pixel independently. As a result, spatiotemporal information of the environmental change cannot be utilized even if it is available. In view of this, we specifically investigate the situation where some of the projectors are occluded by a moving object whose one‐frame‐ahead behaviour is predictable. In order to remove the resulting shadow, we propose a novel error propagating scheme that is still implementable in a distributed manner and enables us to incorporate the prediction information of the obstacle. It is demonstrated theoretically and experimentally that the proposed method significantly improves the shadow removal performance in comparison to the previous work.