A Texture Retrieval Scheme Based on Perceptual Features

作者：Gan Yanhai^*; Cai Xiaoxu; Liu Jun; Wang Shengke

来源：Asia-Pacific-Signal-and-Information-Processing-Association Annual Summit and Conference (APSIPA ASC), 2015-12-16 To 2015-12-19.

DOI：10.1109/APSIPA.2015.7415400

• Euclidean distance
• Mapping model
• Model parameters
• Perceptual dimensions
• Perceptual feature
• Procedural textures
• Salient features
• Texture retrieval

Procedural textures have been widely used as they can be easily generated from various mathematical models. However, the model parameters are not perceptually meaningful or uniform for non-expert users; therefore it is difficult for general users to obtain a desired texture by tuning the parameters. In order to satisfy users' requirement, we propose a novel procedural texture retrieval scheme that can return textures according to commonly used perceptual dimensions. We establish a procedural texture database that includes abundant textures so as to meet the diverse demands of users. All textures in the database are projected into a perceptual space after we construct the mapping model. First, we investigate the salient features of the input texture; then we calculate the Euclidean distance between the input texture and each texture in the database. Experimental results show that our method can effectively retrieve textures that are perceptually consistent with users' input.

• 出版日期2015
• 单位中国海洋大学; 青岛农业大学