| Summary: | 碩士 === 國立交通大學 === 多媒體工程研究所 === 104 === Interior photograph is the most efficient way to help people realize indoor scenes. It is commonly use in house renting, indoor scene design, advertisement and several commercial areas. Clearly, attractive photos would enhance the value of products. To achieve the aim, previous methods estimate 3D saliency maps with localinformation such as curvatures to determine good views. However, these methods often focus on a single object and the relations between furnitures are not considred if the goal is to take good photographs of an indoor scene.In contrast, the presented system not only estimates 3D saliencies of a scene but also considers several photography principles when determining the best view. Specifcally, textures, geometries, and spatial relations are taken into account to identify salient objects. After that, a score function that consists of blocking, free space, and rule of third are maximized to select the best view of an indoor scene. Experimental results demonstrate the effectivenss of our technique.
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