On Simultaneous Recognition of Multiple Paper Sticky Notes with Position Detection and High-resolution

Abstract

We are implementing a system that digitizes paper sticky notes. In order to recognize the positional relationship of sticky notes, it is necessary to take a picture from a position where the sticky note can be viewed from the top. However, the distance between the camera and the sticky notes affects the precision of the extraction of the content of the sticky note.When photographing nearby to accurately read the contents of the sticky notes, information around the sticky notes is lost, making grasping the positional relationship between the sticky notes difficult.There is a trade-off relationship between the extraction precision of the sticky notes and acquisition of the positional relationship between the sticky notes. Therefore, in this paper, we estimate the positional relationship between sticky notes by using a visual inertial odometry. By recognizing the position information at the time of photographing in the virtual space and integrating the extracted information after the photographing in the virtual space by the visual inertial odometry, the relationship between the extraction accuracy and the acquisition of the position information in a trade-off relationship problem.