توجه: محتویات این صفحه به صورت خودکار پردازش شده و مقاله‌های نویسندگانی با تشابه اسمی، همگی در بخش یکسان نمایش داده می‌شوند.
۱Semantic Image Segmentation Based on the Global Precedence Effect and Deformable Templates
نویسنده(ها): ،
اطلاعات انتشار: چهارمین کنفرانس ماشین بینایی و پردازش تصویر، سال
تعداد صفحات: ۱۰
In this paper a knowledge–based automatic “object–of–interest” extraction algorithm based on the image’s partition information and deformable template matching is proposed. The proposed algorithm is based on the similarity between the template of the “object–of–interest” and a region formed by potential fusion of image segments. By simulating the “Global Precedence Effect” (forest before trees) of the human visual system (HVS), the global\large size objects are found at lower resolutions with significantly lower computational complexity. By using deformable templates, a generic template can be used for an object in different examples\ situations. 2D Deformable templates are modelled by some connected primitive regions and some application dependent flexibilities in angel, scale, etc.<\div>
نمایش نتایج ۱ تا ۱ از میان ۱ نتیجه