6 December 2005 A fast tag searching method based on orientation code entropy and density
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Proceedings Volume 6051, Optomechatronic Machine Vision; 605103 (2005) https://doi.org/10.1117/12.645755
Event: Optomechatronic Technologies 2005, 2005, Sapporo, Japan
Abstract
This paper aims to propose a fast image searching method from environmental observation images even in the presence of scale changes. A new scheme has been proposed for extracting feature areas as tags based on a robust image registration algorithm called Orientation code matching. Extracted tags are stored as template images and utilized in tag searching. As the number of tags grows, the searching cost becomes a serious problem. Additionally, change in viewing positions cause scale change of an image and matching failure. In our scheme, richness in features is important for tag generation and the entropy is used to evaluate the diversity of edge directions which are stable to scale change of the image. This characteristic contributes to limitation of searching area and reduction in calculation costs. Scaling factors are estimated by orientation code density which means the percentage of effective codes in fixed size tag areas. An estimated scaling factor is applied to matching a scale of template images to one of observation images. Some experiments are performed in order to compare computation time and verify effectiveness of estimated scaling factor using real scenes.
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Hidenori Takauji, Hidenori Takauji, Shun'ichi Kaneko, Shun'ichi Kaneko, Takayuki Tanaka, Takayuki Tanaka, } "A fast tag searching method based on orientation code entropy and density", Proc. SPIE 6051, Optomechatronic Machine Vision, 605103 (6 December 2005); doi: 10.1117/12.645755; https://doi.org/10.1117/12.645755
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