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Titlebook: Computer Vision -- ACCV 2007; 8th Asian Conference Yasushi Yagi,Sing Bing Kang,Hongbin Zha Conference proceedings 2007 Springer-Verlag Berl

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Enlightenment and Self-Analysis(EHOG) features are formed via dominant orientations in which gradient orientations are quantified into several angle scales that divide gradient orientation space into a number of dominant orientations. Blocks of combined rectangles with their dominant orientations constitute the feature pool. The
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978-3-540-76385-7Springer-Verlag Berlin Heidelberg 2007
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https://doi.org/10.1007/978-3-7908-1978-6 Our experiments show that the proposed method, despite the low dimensional representation in use, is able to effectively discriminate textures and that its performance compares favorably with the state of the art.
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Designing for Learning in Coupled Contextsround truth data. The family of cooperating snakes consistently outperforms a single snake in a variety of road extraction tasks, and our method for obtaining the GVF is more suitable for road extraction tasks than standard methods.
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Ambivalence and Multiple Function of Symbolsions typically do not align with any feasible image segmentation. Experiments show that this simple framework is capable of achieving both high recall and high precision with only a few positive training examples and that this method can be generalized to many object classes.
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Ambivalence and Multiple Function of Symbolsent method is applied. Experimental results show that the proposed method is not only robust to different levels of background complexity, but also effective to different fonts (size, color) and languages of text.
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