图 书 馆
从视频采用非参数采样深度提取Depth Extraction from Video Using Non-parametric Sampling |
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| 课程网址: | http://videolectures.net/eccv2012_karsch_sampling/ |
| 主讲教师: | Silvio Savarese, Kevin Karsch, Aude Oliva |
| 开课单位: | 伊利诺伊大学 |
| 开课时间: | 2012-11-12 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | We describe a technique that automatically generates plausible depth maps from videos using non-parametric depth sampling. We demonstrate our technique in cases where past methods fail (nontranslating cameras and dynamic scenes). Our technique is applicable to single images as well as videos. For videos, we use local motion cues to improve the inferred depth maps, while optical flow is used to ensure temporal depth consistency. For training and evaluation, we use a Kinect-based system to collect a large dataset containing stereoscopic videos with known depths. We show that our depth estimation technique outperforms the state-of-the-art on benchmark databases. Our technique can be used to automatically convert a monoscopic video into stereo for 3D visualization, and we demonstrate this through a variety of visually pleasing results for indoor and outdoor scenes, including results from the feature film Charade. |
| 关 键 词: | 计算机科学; 计算机视觉; 非参数 |
| 课程来源: | 视频讲座网 |
| 最后编审: | 2020-07-14：yumf |
| 阅读次数: | 60 |