CASIA OpenIR  > 09年以前成果
Probabilistic modeling for structural change inference
Liu, W; Prinet, V; Narayanan, PJ; Nayar, SK; Shum, HY
Source PublicationCOMPUTER VISION - ACCV 2006, PT I
2006
Volume3851Pages:836-846
SubtypeArticle
AbstractWe 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 HeadingsScience & Technology ; Technology
WOS KeywordAERIAL IMAGERY ; BUILDINGS
Indexed ByISTP ; SCI
Language英语
WOS Research AreaComputer Science
WOS SubjectComputer Science, Artificial Intelligence ; Computer Science, Theory & Methods
WOS IDWOS:000235772300084
Citation statistics
Cited Times:5[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/9222
Collection09年以前成果
AffiliationChinese Acad Sci, Inst Automat, NLPR,LIAMA, Sino Franch Res Lab Informat Automat & Appl Math, Beijing 100864, Peoples R China
Recommended Citation
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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