This paper proposes an interactive method of depth map generation from a single image for 2D-to-3D conversion. First, the proposed method groups an input image into similar regions to preserve details and segments the image into salient regions with user interaction. Then, the proposed method generates local depth hypothesis using structural information of the input image and salient regions. Finally, the proposed method generates depth map using local depth hypothesis and grouped regions. Experimental results show that the proposed method gives more natural depth map in terms of human perception. It can be applied to depth image based rendering such as stereo view rendering.
Upload this completed form to website with submission ARTICLE INFORMATION Fill in information in each box below Article Title Optimization of gelatin extracting condition from Korean native black goat skin and quality comparison with commercial gelatin Running Title (within 10 words) Quality characteristics of goat skin gelatin
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