Semantics-driven best view of 3D shapes
The problem of automatically selecting the pose of a 3D object that corresponds to the most informative and intuitive view of the shape is known as the best view problem. In this paper we address the selection of the best view driven by the meaningful features of the shape, in order to maximize the visibility of salient components from the context or from the application point of view. Meaningful features can be automatically detected by means of semantic-oriented segmentations: we tested several approaches with very pleasant results in the automatic generation of thumbnails for large 3D model databases.
Viewpoint selection Semantics Segmentation 3D shapes
Michela Mortara Michela Spagnuolo
CNR IMATI Ce, via de Marini 6,16149 Geneva, Italy CNR IMATI Ce,via de Marini 6,16149 Geneva, Italy
国际会议
IEEE International Conference on Shape Modeling and Applications (SMI)(2009年形状建模国际会议)
北京
英文
280-290
2009-06-26（万方平台首次上网日期，不代表论文的发表时间）