Efficient 3D scene modeling and mosaicing
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...
Saved in:
| 主要作者: | |
|---|---|
| 企業作者: | |
| 其他作者: | |
| 格式: | 電子書 |
| 語言: | English |
| 出版: |
Berlin, Heidelberg
Springer Berlin Heidelberg
2013.
|
| 叢編: | Springer Tracts in Advanced Robotics
87 |
| 主題: | |
| 在線閱讀: | Click here to view the full text content |
| 標簽: |
添加標簽
沒有標簽, 成為第一個標記此記錄!
|
| 總結: | 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 algorithm is proposed. This new algorithm presents the advantage of selecting only those vertices that are geometrically representative for the scene. |
|---|---|
| 實物描述: | 1 online resource (XXII, 161 pages) 101 illustration |
| ISBN: | 9783642364181 |
| ISSN: | 1610-7438 |