Depth map upsampling using compressive sensing based model
文献类型：期刊论文
| 作者 | Dai, Longquan ; Wang, Haoxing; Zhang, Xiaopeng
|
| 刊名 | NEUROCOMPUTING
 |
| 出版日期 | 2015-04-22 |
| 卷号 | 154页码:325-336 |
| 关键词 | Depth map Compressive sensing Upsampling |
| 英文摘要 | We propose a new method to enhance the lateral resolution of depth maps with registered high-resolution color images. Inspired by the theory of compressive sensing (CS), we formulate the upsampling task as a sparse signal recovery problem that solves an underdetermined system. With a reference color image, the low-resolution depth map is converted into suitable sampling data (measurements). The signal recovery problem, defined in a constrained optimization framework, can be efficiently solved by variable splitting and alternating minimization. Experimental results demonstrate the effectiveness of our CS-based method: it competes favorably with other state-of-the-art methods with large upsampling factors and noisy depth inputs. (C) 2014 Elsevier B.V. All rights reserved. |
| WOS标题词 | Science & Technology ; Technology |
| 类目[WOS] | Computer Science, Artificial Intelligence |
| 研究领域[WOS] | Computer Science |
| 关键词[WOS] | UNCERTAINTY PRINCIPLES ; SIGNAL RECONSTRUCTION ; ATOMIC DECOMPOSITION ; OBJECT RECOGNITION ; PROJECTION |
| 收录类别 | SCI |
| 语种 | 英语 |
| WOS记录号 | WOS:000350081900033 |
| 源URL | [http://ir.ia.ac.cn/handle/173211/8083]  |
| 专题 | 自动化研究所_模式识别国家重点实验室_多媒体计算与图形学团队 |
| 作者单位 | Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing, Peoples R China |
| 推荐引用方式 GB/T 7714 | Dai, Longquan,Wang, Haoxing,Zhang, Xiaopeng. Depth map upsampling using compressive sensing based model[J]. NEUROCOMPUTING,2015,154:325-336. |
| APA | Dai, Longquan,Wang, Haoxing,&Zhang, Xiaopeng.(2015).Depth map upsampling using compressive sensing based model.NEUROCOMPUTING,154,325-336. |
| MLA | Dai, Longquan,et al."Depth map upsampling using compressive sensing based model".NEUROCOMPUTING 154(2015):325-336. |
入库方式： OAI收割
来源：自动化研究所
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