Local structure preserving discriminative projections for RGB-D sensor-based scene classification

	Local structure preserving discriminative projections for RGB-D sensor-based scene classification
	Dapeng Tao; Jun Cheng; Xu Lin; Jiang Yu
刊名	Information Sciences
	2015
英文摘要	RGB-D sensor-based scene classification has recently received attention because of its potential use in human–computer interaction applications. However, when feature representation schemes are adopted, the dimensionality of concatenated scene features extracted from the RGB and depth image pair is very high and faces the curse of dimensionality. Therefore, we present a new subspace selection scheme called local structure preserving discriminative projections (LSPDP). LSPDP simultaneously considers two issues: (1) achieving a balance between the local patch structure and global within-class structure and (2) maximizing between-class distances. Extensive experimentation on the NYU Depth V1 dataset with feature sets computed using three popular schemes (locality-constrained linear coding (LLC), spatial pyramid matching using sparse coding (Sc-SPM), and efficient match kernels (EMKs)) demonstrates the robustness and effectiveness of the new method for RGB-D sensor-based scene classification.2007;A bilinear approach to the parameter estimation of a general heteroscedastic linear system, with application to conic fitting
收录类别	SCI
原文出处	http://www.sciencedirect.com/science/article/pii/S0020025515001966
语种	英语
内容类型	期刊论文
源URL	[http://ir.siat.ac.cn:8080/handle/172644/6688]
专题	深圳先进技术研究院_集成所
作者单位	Information Sciences
推荐引用方式 GB/T 7714	Dapeng Tao,Jun Cheng,Xu Lin,et al. Local structure preserving discriminative projections for RGB-D sensor-based scene classification[J]. Information Sciences,2015.
APA	Dapeng Tao,Jun Cheng,Xu Lin,&Jiang Yu.(2015).Local structure preserving discriminative projections for RGB-D sensor-based scene classification.Information Sciences.
MLA	Dapeng Tao,et al."Local structure preserving discriminative projections for RGB-D sensor-based scene classification".Information Sciences (2015).