Full text
|
PDF
- Requires a PDF viewer, such as GSview, Xpdf or Adobe Acrobat Reader
Download (2MB) | Preview |
Herrera Conejero, José Luis and Blanco Adán, Carlos Roberto del and García Santos, Narciso (2014). Learning 3D structure from 2D images using LBP features. In: "IEEE International Conference on Image Processing (ICIP 2014)", 27/10/2014 - 30/10/2014, Paris, France. pp. 2022-2025. https://doi.org/10.1109/ICIP.2014.7025405.
Title: | Learning 3D structure from 2D images using LBP features |
---|---|
Author/s: |
|
Item Type: | Presentation at Congress or Conference (Article) |
Event Title: | IEEE International Conference on Image Processing (ICIP 2014) |
Event Dates: | 27/10/2014 - 30/10/2014 |
Event Location: | Paris, France |
Title of Book: | IEEE International Conference on Image Processing (ICIP 2014) |
Date: | 2014 |
Subjects: | |
Freetext Keywords: | 2D-to-3D Conversion, Depth maps, Machine Learning, Local Binary Patterns, Bilateral Filtering |
Faculty: | E.T.S.I. Telecomunicación (UPM) |
Department: | Señales, Sistemas y Radiocomunicaciones |
Creative Commons Licenses: | Recognition - No derivative works - Non commercial |
|
PDF
- Requires a PDF viewer, such as GSview, Xpdf or Adobe Acrobat Reader
Download (2MB) | Preview |
An automatic machine learning strategy for computing the 3D structure of monocular images from a single image query using Local Binary Patterns is presented. The 3D structure is inferred through a training set composed by a repository of color and depth images, assuming that images with similar structure present similar depth maps. Local Binary Patterns are used to characterize the structure of the color images. The depth maps of those color images with a similar structure to the query image are adaptively combined and filtered to estimate the final depth map. Using public databases, promising results have been obtained outperforming other state-of-the-art algorithms and with a computational cost similar to the most efficient 2D-to-3D algorithms.
Type | Code | Acronym | Leader | Title |
---|---|---|---|---|
Government of Spain | TEC2010-20412 | Unspecified | Unspecified | Unspecified |
Item ID: | 37595 |
---|---|
DC Identifier: | http://oa.upm.es/37595/ |
OAI Identifier: | oai:oa.upm.es:37595 |
DOI: | 10.1109/ICIP.2014.7025405 |
Deposited by: | Memoria Investigacion |
Deposited on: | 14 Oct 2015 15:49 |
Last Modified: | 14 Oct 2015 15:49 |