Probabilistic modeling for structural change inference | |
Liu, W![]() | |
刊名 | COMPUTER VISION - ACCV 2006, PT I
![]() |
2006 | |
卷号 | 3851页码:836-846 |
英文摘要 | We view the task of change detection as a problem of object recognition from learning. The object is defined in a 3D space where the time is the 3(rd) dimension. We propose two competitive probabilistic models. The first one has a traditional regard on change, characterized as a 'presence- absence' within two scenes. The model is based on a logistic function, embedded in a framework called 'cut-and-merge'. The second approach is inspired from the Discriminative Random Fields (DRF) approach proposed by Ma and Hebert [KUMA2003]. The energy function is defined as the sum of an association potential and an interaction potential. We formulate the latter as a 3D anisotropic term. A simplified implementation enables to achieve fast computation in the 2D image space. In conclusion, the main contributions of this paper rely on : 1) the extension of the DRF to a 3D manifold; 2) the cut-and-merge algorithm. The application proposed in the paper is on remote sensing images, for building change detection. Results on synthetic and real scenes and comparative analysis demonstrate the effectiveness of the proposed approach. |
WOS标题词 | Science & Technology ; Technology |
类目[WOS] | Computer Science, Artificial Intelligence ; Computer Science, Theory & Methods |
研究领域[WOS] | Computer Science |
关键词[WOS] | AERIAL IMAGERY ; BUILDINGS |
收录类别 | ISTP ; SCI |
语种 | 英语 |
WOS记录号 | WOS:000235772300084 |
公开日期 | 2015-12-24 |
内容类型 | 期刊论文 |
源URL | [http://ir.ia.ac.cn/handle/173211/9222] ![]() |
专题 | 自动化研究所_09年以前成果 |
作者单位 | Chinese Acad Sci, Inst Automat, NLPR,LIAMA, Sino Franch Res Lab Informat Automat & Appl Math, Beijing 100864, Peoples R China |
推荐引用方式 GB/T 7714 | Liu, W,Prinet, V,Narayanan, PJ,et al. Probabilistic modeling for structural change inference[J]. COMPUTER VISION - ACCV 2006, PT I,2006,3851:836-846. |
APA | Liu, W,Prinet, V,Narayanan, PJ,Nayar, SK,&Shum, HY.(2006).Probabilistic modeling for structural change inference.COMPUTER VISION - ACCV 2006, PT I,3851,836-846. |
MLA | Liu, W,et al."Probabilistic modeling for structural change inference".COMPUTER VISION - ACCV 2006, PT I 3851(2006):836-846. |
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