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融合有判别力仿射局部特征上下文的图像分类
张淳杰; 熊威; 张一帆; 梁超; 张维刚; 黄庆明
Source Publication计算机辅助设计与图形学学报
2014-05
Volume26Issue:5Pages:762-766
Other AbstractMost of context based methods focus on using context information at the visual word level without considering the relationship between local features. Besides, images are often captured with various poses, scale changes, illumination variation and camera parameters. This hinders the improvement of image classification performance. By combining contextual information of local features, this paper proposes a novel discriminative affine local feature context method for efficient image classification. We use the local feature at the position as well as other local features based on their distances and angels to this position. Affine transformations are done to the local feature context in order to get more robust and effective features. The discriminative affine-transformed local feature context is then chosen by minimizing the reconstruction error. Classification experiments demonstrate the effectiveness of the proposed method.
Keyword局部特征上下文 仿射不变性 稀疏编码 图像分类
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/15382
Collection类脑智能研究中心
Affiliation1.中国科学院大学计算机与控制学院
2.中国科学院计算技术研究所智能信息处理重点实验室
3.中国科学院自动化研究所模式识别国家重点实验室
4.武汉大学计算机学院国家多媒体软件工程技术研究中心
5.哈尔滨工业大学(威海)计算机科学与技术学院
Recommended Citation
GB/T 7714
张淳杰,熊威,张一帆,等. 融合有判别力仿射局部特征上下文的图像分类[J]. 计算机辅助设计与图形学学报,2014,26(5):762-766.
APA 张淳杰,熊威,张一帆,梁超,张维刚,&黄庆明.(2014).融合有判别力仿射局部特征上下文的图像分类.计算机辅助设计与图形学学报,26(5),762-766.
MLA 张淳杰,et al."融合有判别力仿射局部特征上下文的图像分类".计算机辅助设计与图形学学报 26.5(2014):762-766.
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