Full 3D Plant Reconstruction via Intrusive Acquisition
文献类型：期刊论文
| 作者 | Kangxue Yin; Hui Huang; Minglun Gong; Andrei Sharf; Alexei Gaissinski |
| 刊名 | Computer Graphics Forum
 |
| 出版日期 | 2016 |
| 英文摘要 | We present a distillation algorithm which operates on a large, unstructured, and noisy collection of internet images returned from an online object query. We introduce the notion of a distilled set, which is a clean, coherent, and structured subset of inlier images. In addition, the object of interest is properly segmented out throughout the distilled set. Our approach is unsupervised, built on a novel clustering scheme, and solves the distillation and object segmentation problems simultaneously. In essence, Instead of distilling the collection of images, we distill a collection of loosely cutout foreground “shapes”, which may or may not contain the queried object. Our key observation, which motivated our clustering scheme, is that outlier shapes are expected to be random in nature, whereas, inlier shapes, which do tightly enclose the object of interest, tend to be well supported by similar shapes captured in similar views. We analyze the commonalities among candidate foreground segments, without aiming to analyze their semantics, but simply by clustering similar shapes and considering only the most significant clusters representing non-trivial shapes. We show that when tuned conservatively, our distillation algorithm is able to extract a near perfect subset of true inliers. Furthermore, we show that our technique scales well in the sense that the precision rate remains high, as the collection grows. We demonstrate the utility of our distillation results with a number of interesting graphics applications. |
| 收录类别 | SCI |
| 原文出处 | http://onlinelibrary.wiley.com/doi/10.1111/cgf.12724/abstract |
| 语种 | 英语 |
| 源URL | [http://ir.siat.ac.cn:8080/handle/172644/10168]  |
| 专题 | 深圳先进技术研究院_数字所 |
| 作者单位 | Computer Graphics Forum |
| 推荐引用方式 GB/T 7714 | Kangxue Yin,Hui Huang,Minglun Gong,et al. Full 3D Plant Reconstruction via Intrusive Acquisition[J]. Computer Graphics Forum,2016. |
| APA | Kangxue Yin,Hui Huang,Minglun Gong,Andrei Sharf,&Alexei Gaissinski.(2016).Full 3D Plant Reconstruction via Intrusive Acquisition.Computer Graphics Forum. |
| MLA | Kangxue Yin,et al."Full 3D Plant Reconstruction via Intrusive Acquisition".Computer Graphics Forum (2016). |
入库方式： OAI收割
来源：深圳先进技术研究院
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