Depth Estimation from Monocular Infrared Images Based on BP Neural Network Model

摘要：

　　A depth estimation algorithm for monocular infrared image based on nonlinear learning model is proposed in this paper.Firstly,some infrared image features corresponding to the depth are extracted using stepwise regression and independent component analysis.Secondly,we regress and train the features and the corresponding depth map of an infrared image based on BP neural network.A nonlinear depth estimation model is obtained.We can estimate depth distribution of an infrared image using the model.The experimental results show that more accurate depth information can obtained based on the proposed model comparing the linear estimation model.

关键词： depth estimation infrared image BP neural network monocular depth

作者: Shaoyuan Sun Linna Li Lin Xi

作者单位: Automation Department, College of Information Science and Technology,Donghua University, Shanghai, China Engineering Research Center of Digitized Textile & Fashion Technology,Ministry of Education of China

会议类型: 国际会议

会议名称: 2012年遥感中的计算机视觉国际会议

会议地点: 厦门

会议语种:英文

页码: 1-5

在线出版日期: 2012-12-16（万方平台首次上网日期，不代表论文的发表时间）