Radiometric Compensation for Cooperative Distributed Multi-Projection System Through 2-DOF Distributed Control
Radiometric Compensation for Cooperative Distributed Multi-Projection System Through 2-DOF Distributed Control
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DOI：
10.1109/tvcg.2015.2459905
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发表时间：
2015-11
影响因子：
5.2
通讯作者：
Jun Tsukamoto;D. Iwai;K. Kashima
中科院分区：
文献类型：
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作者：
Jun Tsukamoto;D. Iwai;K. Kashima
提出了一种基于分布式优化的协同投影系统辐射补偿方法。为了实现高的可扩展性和鲁棒性，我们假设合作投影环境，使1。每个投影仪不具有关于其他投影仪以及目标图像的信息。照相机在具有目标图像的同时也不具有关于投影仪的信息，以及3.仅允许从照相机到投影仪的广播通信来抑制数据传输带宽。为此，我们首先研究了一种基于分布式优化的反馈机制，该机制适用于所需的分散信息处理环境。接下来，我们证明了这种机制对于静止图像投影效果很好，但是由于缺乏动态响应，对于运动图像没有必要。为了克服这个问题，我们建议实现一个额外的前馈机制。这种2自由度（2-DOF）控制结构在控制工程界是众所周知的，作为一种典型的方法，不仅可以同时增强干扰抑制能力，还可以增强参考跟踪能力。我们从理论上保证和实验证明，这种2-DOF结构产生的运动图像投影精度是压倒性的最佳可实现的性能，只有通过分布式优化机制。
This paper proposes a novel radiometric compensation technique for cooperative projection system based-on distributed optimization. To achieve high scalability and robustness, we assume cooperative projection environments such that 1. each projector does not have information about other projectors as well as target images, 2. the camera does not have information about the projectors either, while having the target images, and 3. only a broadcast communication from the camera to the projectors is allowed to suppress the data transfer bandwidth. To this end, we first investigate a distributed optimization based feedback mechanism that is suitable for the required decentralized information processing environment. Next, we show that this mechanism works well for still image projection, however not necessary for moving images due to the lack of dynamic responsiveness. To overcome this issue, we propose to implement an additional feedforward mechanism. Such a 2 Degree Of Freedom (2-DOF) control structure is well-known in control engineering community as a typical method to enhance not only disturbance rejection but also reference tracking capability, simultaneously. We theoretically guarantee and experimentally demonstrate that this 2-DOF structure yields the moving image projection accuracy that is overwhelming the best achievable performance only by the distributed optimization mechanisms.