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- W2583752511 abstract "This paper proposes a novel shadow removal technique for cooperative projection system based-on spatio-temporal 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, spatio-temporal 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 projectors are occluded by a moving object whose oneframe-ahead behavior 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 experimentally that the proposed method significantly improves the shadow removal performance comparison to the previous work." @default.
- W2583752511 created "2017-02-10" @default.
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- W2583752511 date "2016-09-01" @default.
- W2583752511 modified "2023-09-24" @default.
- W2583752511 title "Distributed Optimization for Shadow Removal in Spatial Augmented Reality" @default.
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- W2583752511 doi "https://doi.org/10.1109/ismar-adjunct.2016.0062" @default.
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