Depth-based color stereo images retrieval using joint multivariate statistical models

作者：

Highlights：

• Efficient techniques for color stereo image retrieval are proposed.

• The developed methods are based on Gaussian-copula based multivariate statistical models.

• The models aim to exploit the cross-view and channel dependencies.

• Joint statistical modeling of texture and depth information is also investigated.

摘要

•Efficient techniques for color stereo image retrieval are proposed.•The developed methods are based on Gaussian-copula based multivariate statistical models.•The models aim to exploit the cross-view and channel dependencies.•Joint statistical modeling of texture and depth information is also investigated.

论文关键词：Content-based retrieval,Color stereo images,Depth map,Wavelet transform,Multivariate modeling,Gaussian copula,Generalized Gaussian distribution

论文评审过程：Received 27 November 2018, Revised 14 April 2019, Accepted 15 May 2019, Available online 17 May 2019, Version of Record 28 May 2019.

论文官网地址：https://doi.org/10.1016/j.image.2019.05.008