Browsing by Author "Chen, Chu-Song"
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Item type:Item, IMAGE RECOLORIZATION FOR THE COLORBLIND(2009) ;Huang, Jia-Bin ;Chen, Chu-Song ;Jen, Tzu-Cheng ;Wang, Sheng-Jyh電子工程學系及電子研究所In this paper, we propose a new re-coloring algorithm to enhance the accessibility for the color vision deficient (or colorblind). Compared to people with normal color vision, people with color vision deficiency (CVD) have difficulty in distinguishing between certain combinations of colors. This may hinder visual communication owing to the increasing use of colors in recent years. To address this problem, we re-color the image to preserve visual detail when perceived by people with CVD. We first extract the representing colors in an image. Then we find the optimal mapping to maintain the contrast between each pair of these representing colors. The proposed algorithm is image content dependent and completely automatic. Experimental results on natural images are illustrated to demonstrate the effectiveness of the proposed re-coloring algorithm.Item type:Item, Vision-Based Positioning for Internet-of-Vehicles(2017-02) ;Chen, Kuan-Wen ;Wang, Chun-Hsin ;Wei, Xiao ;Liang, QiaoChen, Chu-SongThis paper presents an algorithm for ego-positioning by using a low-cost monocular camera for systems based on the Internet-of-Vehicles. To reduce the computational and memory requirements, as well as the communication load, we tackle the model compression task as a weighted k-cover problem for better preserving the critical structures. For real-world vision-based positioning applications, we consider the issue of large scene changes and introduce a model update algorithm to address this problem. A large positioning data set containing data collected for more than a month, 106 sessions, and 14 275 images is constructed. Extensive experimental results show that submeter accuracy can be achieved by the proposed ego-positioning algorithm, which outperforms existing vision-based approaches.