| 書(shū)目名稱 | Efficient 3D Scene Modeling and Mosaicing |
| 編輯 | Tudor Nicosevici,Rafael Garcia |
| 視頻video | http://file.papertrans.cn/303/302957/302957.mp4 |
| 概述 | Presents efficient approaches and open issues in the field of 3D mapping and navigation.Presents an end-to-end solution for creating accurate 3D textured models using monocular video sequences.Develop |
| 叢書(shū)名稱 | Springer Tracts in Advanced Robotics |
| 圖書(shū)封面 |  |
| 描述 | .This book proposes a complete pipeline for monocular (single camera) based 3D mapping of terrestrial and underwater environments. The aim is to provide a solution to large-scale scene modeling that is both accurate and efficient. To this end, we have developed a novel Structure from Motion algorithm that increases mapping accuracy by registering camera views directly with the maps. The camera registration uses a dual approach that adapts to the type of environment being mapped..?.In order to further increase the accuracy of the resulting maps, a new method is presented, allowing detection of images corresponding to the same scene region (crossovers). Crossovers then used in conjunction with global alignment methods in order to highly reduce estimation errors, especially when mapping large areas. Our method is based on Visual Bag of Words paradigm (BoW), offering a more efficient and simpler solution by eliminating the training stage, generally required by state of the art BoW algorithms..?.Also, towards developing methods for efficient mapping of large areas (especially with costs related to map storage, transmission and rendering in mind), an online 3D model simplification algori |
| 出版日期 | Book 2013 |
| 關(guān)鍵詞 | 3D Mapping; 3D Model Optimization; Mosaicing; Optical Mapping; Robotics; SLAM; Structure from MOTION; Visio |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-642-36418-1 |
| isbn_softcover | 978-3-642-43755-7 |
| isbn_ebook | 978-3-642-36418-1Series ISSN 1610-7438 Series E-ISSN 1610-742X |
| issn_series | 1610-7438 |
| copyright | Springer-Verlag Berlin Heidelberg 2013 |
|Archiver|手機(jī)版|小黑屋|
派博傳思國(guó)際
( 京公網(wǎng)安備110108008328)
GMT+8, 2025-10-8 07:55
發(fā)表于 2025-3-21 18:37:43
