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The Maximum Consensus Problem: Recent Algorithmic Advances - Synthesis Lectures on Computer Vision Tat-Jun Chin
The Maximum Consensus Problem: Recent Algorithmic Advances - Synthesis Lectures on Computer Vision
Tat-Jun Chin
Outlier-contaminated data is a fact of life in computer vision. In this context, the maximum consensus robust criterion plays a critical role by allowing the quantity of interest to be estimated from noisy and outlier-prone visual measurements.
| 介质类型 | 图书 Paperback Book (平装胶订图书) |
| 已发行 | 2017年2月27日 |
| ISBN13 | 9783031006906 |
| 出版商 | Springer International Publishing AG |
| 页数 | 178 |
| 商品尺寸 | 150 × 220 × 10 mm · 377 g |
| 语言 | 英语 |
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