WFRF:(Boykov Yuri)
Sökning: WFRF:(Boykov Yuri) > Curvature-Based Reg...
LIBRIS Formathandbok (Information om MARC21)
| Fältnamn | Indikatorer | Metadata |
|---|---|---|
| 000 | 02450naa a2200289 4500 | |
| 001 | oai:lup.lub.lu.se:9db1ee80-3c35-4383-b8b6-cfd79c57ce52 | |
| 003 | SwePub | |
| 008 | 160401s2012 | |||||||||||000 ||eng| | |
| 024 | 7 | a https://lup.lub.lu.se/record/32832892 URI |
| 024 | 7 | a https://doi.org/10.1109/CVPR.2012.62478492 DOI |
| 040 | a (SwePub)lu | |
| 041 | a engb eng | |
| 042 | 9 SwePub | |
| 072 | 7 | a kon2 swepub-publicationtype |
| 072 | 7 | a ref2 swepub-contenttype |
| 100 | 1 | a Olsson, Carlu Lund University,Lunds universitet,Matematik LTH,Matematikcentrum,Institutioner vid LTH,Lunds Tekniska Högskola,Mathematics (Faculty of Engineering),Centre for Mathematical Sciences,Departments at LTH,Faculty of Engineering, LTH4 aut0 (Swepub:lu)math-coo |
| 245 | 1 0 | a Curvature-Based Regularization for Surface Approximation |
| 264 | 1 | c 2012 |
| 520 | a We propose an energy-based framework for approximating surfaces from a cloud of point measurements corrupted by noise and outliers. Our energy assigns a tangent plane to each (noisy) data point by minimizing the squared distances to the points and the irregularity of the surface implicitly defined by the tangent planes. In order to avoid the well-known "shrinking" bias associated with first-order surface regularization, we choose a robust smoothing term that approximates curvature of the underlying surface. In contrast to a number of recent publications estimating curvature using discrete (e. g. binary) labellings with triple-cliques we use higher-dimensional labels that allows modeling curvature with only pair-wise interactions. Hence, many standard optimization algorithms (e. g. message passing, graph cut, etc) can minimize the proposed curvature-based regularization functional. The accuracy of our approach for representing curvature is demonstrated by theoretical and empirical results on synthetic and real data sets from multi-view reconstruction and stereo. (1) | |
| 650 | 7 | a NATURVETENSKAPx Matematik0 (SwePub)1012 hsv//swe |
| 650 | 7 | a NATURAL SCIENCESx Mathematics0 (SwePub)1012 hsv//eng |
| 700 | 1 | a Boykov, Yuri4 aut |
| 710 | 2 | a Matematik LTHb Matematikcentrum4 org |
| 773 | 0 | t 2012 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)g , s. 1576-1583q <1576-1583x 1063-6919 |
| 856 | 4 | u http://dx.doi.org/10.1109/CVPR.2012.6247849y FULLTEXT |
| 856 | 4 8 | u https://lup.lub.lu.se/record/3283289 |
| 856 | 4 8 | u https://doi.org/10.1109/CVPR.2012.6247849 |
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