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May 27

13th Intl. Conf. on New Interfaces for Musical Expression

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Graphics Interface 2013

May 29

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May 22

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Hideaki Uchiyama

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Publications by Hideaki Uchiyama (bibliography)

2011

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Yamamoto, Yusuke, Uchiyama, Hideaki and Kakehi, Yasuaki (2011): onNote: playing printed music scores as a musical instrument. In: Proceedings of the 2011 ACM Symposium on User Interface Software and Technology 2011. pp. 413-422.

“This paper presents a novel musical performance system named onNote that directly utilizes printed music scores as a musical instrument. This system can make users believe that sound is indeed embedded on the music notes in the scores. The users can play music simply by placing, moving and touching the scores under a desk lamp equipped with a camera and a small projector. By varying the movement, the users can control the playing sound and the tempo of the music. To develop this system, we propose an image processing based framework for retrieving music from a music database by capturing printed music scores. From a captured image, we identify the scores by matching them with the reference music scores, and compute the position and pose of the scores with respect to the camera. By using this framework, we can develop novel types of musical interactions.”

2010

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Uchiyama, Hideaki, Pilet, Julien and Saito, Hideo (2010): On-line document registering and retrieving system for AR annotation overlay. In: Proceedings of the 2010 Augmented Human International Conference 2010. p. 23.

“We propose a system that registers and retrieves text documents to annotate them on-line. The user registers a text document captured from a nearly top view and adds virtual annotations. When the user thereafter captures the document again, the system retrieves and displays the appropriate annotations, in real-time and at the correct location. Registering and deleting documents is done by user interaction. Our approach relies on LLAH, a hashing based method for document image retrieval. At the on-line registering stage, our system extracts keypoints from the input image and stores their descriptors computed from their neighbors. After registration, our system can quickly find the stored document corresponding to an input view by matching keypoints. From the matches, our system estimates the geometrical relationship between the camera and the document for accurately overlaying the annotations. In the experimental results, we show that our system can achieve on-line and real-time performances.”

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