Keiji Shibata

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Knowing the road surface condition is one of the most important topics at contributes to the safety of pedestrians and car drivers. It is increasingly becoming necessary to distinguish road surface condition at night-time, as most of the previously methods only focus on daytime conditions. In this paper, we propose a distinction method of road surface(More)
The perceived image distortion of any image is strongly depend on the local features, such as edge, flat and texture. A new objective no-reference (NR) image quality evaluation model based on local features and segmentation for JPEG coded image is presented in our previous paper, which is easy to calculate and applicable to various image processing(More)
The objective image quality evaluation model for coded image without using the reference is very useful for quality oriented image compression. In this paper, a new objective no-reference (NR) image quality evaluation model for JPEG coded image is presented, which is easy to calculate and applicable to various image processing applications. The proposed(More)
Detection of road surface conditions is a critical issue for safe driving in winter. Because the stopping distance of vehicles on snowy roads is considerably longer than in dry conditions. Conventional detection methods face many problems such as deployment costs and detectable period of time. In this paper, we propose a method for detecting the road(More)
An effective method for detecting road surface conditions is the use of polarization features. In this paper we describe this method, for which we use two cameras for taking vertical and horizontal polarized images simultaneously. Generally, camera calibrations have to be processed, however in this paper we explain how we managed to avoid this processing,(More)