研究生学术报告预告登记(开题、中期、答辩)

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报告人: 张凝
学号: 2015204143
学院: 电子信息工程学院
报告类型: 第二次学术报告
日期: 2016年10月29日
时间: 09:00
地点: 26D534
导师: 雷建军
题目: Occlusion-aware Depth Estimation Using Light-field Camera
内容提要:

Consumer-level and high-end light-field cameras are now widely available. Recent work has demonstrated practical methods for passive depth estimation from light-field images. However, most previous approaches do not explicitly model occlusions, and therefore cannot capture sharp transitions around object boundaries. A common assumption is that a pixel exhibits photo-consistency when focused to its correct depth, i.e., all viewpoints converge to a single (Lambertian) point in the scene. This assumption does not hold in the presence of occlusions, making most current approaches unreliable precisely where accurate depth information is most important – at depth discontinuities.

图片:
登记人: 张凝
登记时间: 2017年05月1日 星期一 16:51