Fast depth extraction from a single image
文献类型：期刊论文
| 作者 | He, Lei1 ; Dong, Qiulei1; Wang, Guanghui2
|
| 刊名 | INTERNATIONAL JOURNAL OF ADVANCED ROBOTIC SYSTEMS
 |
| 出版日期 | 2016-11-14 |
| 卷号 | 13期号:1页码:1-10 |
| 关键词 | Depth Extraction Single Image Sparse Sift Flow |
| DOI | 10.1177/1729881416663370 |
| 文献子类 | Article |
| 英文摘要 | Predicting depth from a single image is an important problem for understanding the 3-D geometry of a scene. Recently, the nonparametric depth sampling (Depth Transfer) has shown great potential in solving this problem, and its two key components are a Scale Invariant Feature Transform (SIFT) flow-based depth warping between the input image and its retrieved similar images and a pixel-wise depth fusion from all warped depth maps. In addition to the inherent heavy computational load in the SIFT flow computation even under a coarse-to-fine scheme, the fusion reliability is also low due to the low discriminativeness of pixel-wise description nature. This article aims at solving these two problems. First, a novel sparse SIFT flow algorithm is proposed to reduce the complexity from subquadratic to sublinear. Then, a reweighting technique is introduced where the variance of the SIFT flow descriptor is computed at every pixel and used for reweighting the data term in the conditional Markov random fields. Our proposed depth transfer method is tested on the Make3D Range Image Data and NYU Depth Dataset V2. It is shown that, with comparable depth estimation accuracy, our method is 2-3 times faster than the Depth Transfer. |
| WOS研究方向 | Robotics |
| 语种 | 英语 |
| WOS记录号 | WOS:000394814200001 |
| 资助机构 | Strategic Priority Research Program of the Chinese Academy of Sciences(XDB02070002) ; National Natural Science Foundation of China(61421004 ; 61333015 ; 61573351 ; 61283282) |
| 源URL | [http://ir.ia.ac.cn/handle/173211/12442]  |
| 专题 | 自动化研究所_模式识别国家重点实验室_机器人视觉团队 |
| 通讯作者 | Dong, Qiulei |
| 作者单位 | 1.Chinese Acad Sci, Inst Automat, 95 Zhongguancun East Rd, Beijing 100190, Peoples R China 2.Univ Kansas, Dept Elect Engn & Comp Sci, Lawrence, KS 66045 USA |
| 推荐引用方式 GB/T 7714 | He, Lei,Dong, Qiulei,Wang, Guanghui. Fast depth extraction from a single image[J]. INTERNATIONAL JOURNAL OF ADVANCED ROBOTIC SYSTEMS,2016,13(1):1-10. |
| APA | He, Lei,Dong, Qiulei,&Wang, Guanghui.(2016).Fast depth extraction from a single image.INTERNATIONAL JOURNAL OF ADVANCED ROBOTIC SYSTEMS,13(1),1-10. |
| MLA | He, Lei,et al."Fast depth extraction from a single image".INTERNATIONAL JOURNAL OF ADVANCED ROBOTIC SYSTEMS 13.1(2016):1-10. |
入库方式： OAI收割
来源：自动化研究所
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