时间: 2016年3月30日（周三）上午10：00

地点: 延长校区行健楼1101室

讲座: 自适应颜色导引的自回归模型深度恢复

演讲者: 杨敬钰 副教授, 天津大学电信工程学院

演讲者简介：

杨敬钰，男，博士，天津大学电信工程学院副教授，博士生导师，教育部“新世纪优秀人才”（2012）、北洋青年学者（2014）。2009年获清华大学自动化系博士学位，2011.2-2011.8微软亚洲研究院访问研究员，2012.7-2012.10瑞士联邦洛桑理工学院访问学者，2014.10-2015.10瑞士联邦洛桑理工学院博士后研究员。在IEEE TIP/TCSVT/TMM、CVPR、ECCV、ICME、ICIP等国际期刊与会议上发表学术论文近40篇；获国家发明专利11项；获得国家及省部级科技奖励4项。

讲座摘要：

This talk gives an adaptive color-guided autoregressive (AR) model for high quality depth recovery from low quality measurements captured by depth cameras. The depth recovery task is formulated into a minimization of AR prediction errors subject to measurement consistency. The AR predictor for each pixel is constructed according to both the local correlation in the initial depth map and the nonlocal similarity in the accompanied high quality color image. We analyze the stability of our method from a linear system point of view, and design a parameter adaptation scheme to achieve stable and accurate depth recovery. Quantitative and qualitative evaluation compared with ten state-of-the-art schemes show the effectiveness and superiority of our method. Being able to handle various types of depth degradations, the proposed method is versatile for mainstream depth sensors, time-of-flight camera, and Kinect.

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