作者
Eric Hayman, Barbara Caputo, Mario Fritz, Jan-Olof Eklundh
发表日期
2004
研讨会论文
Computer Vision-ECCV 2004: 8th European Conference on Computer Vision, Prague, Czech Republic, May 11-14, 2004. Proceedings, Part IV 8
页码范围
253-266
出版商
Springer Berlin Heidelberg
简介
Classifying materials from their appearance is a challenging problem, especially if illumination and pose conditions are permitted to change: highlights and shadows caused by 3D structure can radically alter a sample’s visual texture. Despite these difficulties, researchers have demonstrated impressive results on the CUReT database which contains many images of 61 materials under different conditions. A first contribution of this paper is to further advance the state-of-the-art by applying Support Vector Machines to this problem. To our knowledge, we record the best results to date on the CUReT database.
In our work we additionally investigate the effect of scale since robustness to viewing distance and zoom settings is crucial in many real-world situations. Indeed, a material’s appearance can vary considerably as fine-level detail becomes visible or disappears as the camera moves towards or …
引用总数
学术搜索中的文章
E Hayman, B Caputo, M Fritz, JO Eklundh - Computer Vision-ECCV 2004: 8th European …, 2004