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Image Information Added Map Making Interface for Compensating Image Resolution
Author(s) -
Shinya Kawakami,
Tomohito Takubo,
Kenichi Ohara,
Yasushi Mae,
Tatsuo Arai
Publication year - 2012
Publication title -
journal of robotics and mechatronics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.257
H-Index - 19
eISSN - 1883-8049
pISSN - 0915-3942
DOI - 10.20965/jrm.2012.p0507
Subject(s) - computer vision , artificial intelligence , computer science , interface (matter) , object (grammar) , image (mathematics) , position (finance) , computer graphics (images) , bubble , finance , maximum bubble pressure method , parallel computing , economics
We propose an image information added map to create an intuitive interface to explore unknown environments using pictures. The proposed map contains a good picture for each mapped object. The shooting angle and position for the picture are defined by the required resolution of the image, the camera specifications and the object’s shape. The appearance from a desired direction can be confirmed intuitively by referring to the shooting vector for the object. To make the proposed map, high quality image information should be acquired on its definition. We developed a tool for making the map and tested its effectiveness in an experiment.

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