南京师大学报（自然科学版）2017，Vol.40Issue(1)：79-85,7.DOI:10.3969/j.issn.1001-4616.2017.01.012
典型室内场景显著性稀疏识别
Significant Spare Representation of Typical Indoor Scene Recognition
摘要
Abstract
With the development and popularization of information technology and intelligent robots,scene recognition as an important research content has become an important research in the field of computer vision and pattern recognition problem.Solving the problem of the low classification accuracy for indoor scene will help the indoor scene classification in some areas of application:the image retrieval,video retrieval of the scene and the robot.Conventional scene recognition methods have poor performance in indoor situations.For this reason,a sparse representation indoor scene recognition method is presented,which based on significant detection.This method is using significant recognition detection to extract the scene in the image area which we are interested in,and combined with sparse representation to scene classification recognition.Experimental results show that this method can be applied to a typical family indoor scenarios (e.g.,bedroom,kitchen,closet,etc.)and have certain advantages in terms of recognition accuracy.关键词
场景识别/室内场景分类/显著性区域检测/稀疏表示Key words
scene recognition/indoor scene classification/salient region detection/sparse representation分类
信息技术与安全科学引用本文复制引用
严晗,刘佶鑫,龚建荣..典型室内场景显著性稀疏识别[J].南京师大学报（自然科学版）,2017,40(1):79-85,7.基金项目
国家自然科学基金青年基金(61401220)、江苏省自然辩学基金青年基金(BK20140884)、江苏省高校自然科学研究面上项目(14KJB510022). （61401220）
