WFRF:(Boykov Yuri)
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| Fältnamn | Indikatorer | Metadata |
|---|---|---|
| 000 | 02832naa a2200325 4500 | |
| 001 | oai:lup.lub.lu.se:632a92cc-920b-48d2-96d0-a523a8a2b1bc | |
| 003 | SwePub | |
| 008 | 170213s2016 | |||||||||||000 ||eng| | |
| 024 | 7 | a https://lup.lub.lu.se/record/632a92cc-920b-48d2-96d0-a523a8a2b1bc2 URI |
| 024 | 7 | a https://doi.org/10.1109/ICCV.2015.2062 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 Boykov, Yuriu University of Western Ontario4 aut |
| 245 | 1 0 | a Volumetric bias in segmentation and reconstruction : Secrets and solutions |
| 264 | 1 | c 2016 |
| 300 | a 9 s. | |
| 520 | a Many standard optimization methods for segmentation and reconstruction compute ML model estimates for ap- pearance or geometry of segments, e.g. Zhu-Yuille [23], Torr [20], Chan-Vese [6], GrabCut [18], Delong et al. [8]. We observe that the standard likelihood term in these formu- lations corresponds to a generalized probabilistic K-means energy. In learning it is well known that this energy has a strong bias to clusters of equal size [11], which we express as a penalty for KL divergence from a uniform distribution of cardinalities. However, this volumetric bias has been mostly ignored in computer vision. We demonstrate signif- icant artifacts in standard segmentation and reconstruction methods due to this bias. Moreover, we propose binary and multi-label optimization techniques that either (a) remove this bias or (b) replace it by a KL divergence term for any given target volume distribution. Our general ideas apply to continuous or discrete energy formulations in segmenta- tion, stereo, and other reconstruction problems. | |
| 650 | 7 | a NATURVETENSKAPx Data- och informationsvetenskapx Datorseende och robotik0 (SwePub)102072 hsv//swe |
| 650 | 7 | a NATURAL SCIENCESx Computer and Information Sciencesx Computer Vision and Robotics0 (SwePub)102072 hsv//eng |
| 700 | 1 | a Isack, Hossamu University of Western Ontario4 aut |
| 700 | 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 |
| 700 | 1 | a Ayed, Ismail Benu École de technologie supérieure ETS4 aut |
| 710 | 2 | a University of Western Ontariob Matematik LTH4 org |
| 773 | 0 | t Proceedings - 2015 IEEE International Conference on Computer Vision, ICCV 2015g 11-18-December-2015, s. 1769-1777q 11-18-December-2015<1769-1777z 9781467383912 |
| 856 | 4 | u http://dx.doi.org/10.1109/ICCV.2015.206y FULLTEXT |
| 856 | 4 8 | u https://lup.lub.lu.se/record/632a92cc-920b-48d2-96d0-a523a8a2b1bc |
| 856 | 4 8 | u https://doi.org/10.1109/ICCV.2015.206 |
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