BulkScreen
Riku Arakawa, Yudai Tanaka, Hiromu Kawarasaki, Kiyosu Maeda · 2020
Digital images appearing on displays in everyday activities (e.g., photos on a smartphone) are automatically and instantly rendered without manual intervention such that we can seamlessly appreciate them. In contrast, shape displays require manual designs of outputs upon actuation of input images to render 3D shapes. In this work, we aim to achieve automatic and on-the-spot actuation of digital images so that we can seamlessly see 3D physical images. To this end, we developed BulkScreen, an image projection system that can automatically render 3D shapes of input images on a vertical pin-array screen. Our approach is based on a deep-neural-network saliency estimation coupled with our post-processing algorithm. We believe this spontaneous actuation mechanism facilitates applications with shape displays such as real-time picture browsing and display advertisement, building on the benefit of representing physical shapes; tangibility.