Efficient 3D Scene Modeling and Mosaicing (Record no. 57722)
[ view plain ]
| 000 -LEADER | |
|---|---|
| fixed length control field | 03308nam a22005415i 4500 |
| 001 - CONTROL NUMBER | |
| control field | 978-3-642-36418-1 |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20200421112227.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 130220s2013 gw | s |||| 0|eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| ISBN | 9783642364181 |
| -- | 978-3-642-36418-1 |
| 082 04 - CLASSIFICATION NUMBER | |
| Call Number | 629.892 |
| 100 1# - AUTHOR NAME | |
| Author | Nicosevici, Tudor. |
| 245 10 - TITLE STATEMENT | |
| Title | Efficient 3D Scene Modeling and Mosaicing |
| 300 ## - PHYSICAL DESCRIPTION | |
| Number of Pages | XXII, 161 p. 97 illus., 76 illus. in color. |
| 490 1# - SERIES STATEMENT | |
| Series statement | Springer Tracts in Advanced Robotics, |
| 505 0# - FORMATTED CONTENTS NOTE | |
| Remark 2 | Introduction -- Literature Review -- Direct Structure from Motion -- Online Loop Detection -- Online 3D Model Simplification -- Conclusions. |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc | 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. |
| 700 1# - AUTHOR 2 | |
| Author 2 | Garcia, Rafael. |
| 856 40 - ELECTRONIC LOCATION AND ACCESS | |
| Uniform Resource Identifier | http://dx.doi.org/10.1007/978-3-642-36418-1 |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | eBooks |
| 264 #1 - | |
| -- | Berlin, Heidelberg : |
| -- | Springer Berlin Heidelberg : |
| -- | Imprint: Springer, |
| -- | 2013. |
| 336 ## - | |
| -- | text |
| -- | txt |
| -- | rdacontent |
| 337 ## - | |
| -- | computer |
| -- | c |
| -- | rdamedia |
| 338 ## - | |
| -- | online resource |
| -- | cr |
| -- | rdacarrier |
| 347 ## - | |
| -- | text file |
| -- | |
| -- | rda |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Engineering. |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Artificial intelligence. |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Image processing. |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Robotics. |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Automation. |
| 650 14 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Engineering. |
| 650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Robotics and Automation. |
| 650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Artificial Intelligence (incl. Robotics). |
| 650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Image Processing and Computer Vision. |
| 830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE | |
| -- | 1610-7438 ; |
| 912 ## - | |
| -- | ZDB-2-ENG |
No items available.