Interpreting the Structure of Single Images by Learning from Examples
An important problem in computer vision is the interpretation of the content of a single image. In our work we investigated the challenging case of recovering the underlying 3D structure of a scene from a single image, by learning from trainig data. Toward this, we developed a plane detection algor...
Main Author: | Osian Haines |
---|---|
Format: | Article |
Language: | English |
Published: |
Computer Vision Center Press
2015-12-01
|
Series: | ELCVIA Electronic Letters on Computer Vision and Image Analysis |
Subjects: | |
Online Access: | https://elcvia.cvc.uab.es/article/view/729 |
Similar Items
-
Implementing Cepstral Filtering Technique using Gabor Filters
by: Sheena Sharma, et al.
Published: (2012-03-01) -
On Fundamental Elements of Visual Navigation Systems
by: Siddiqui, Rafid
Published: (2014) -
Fast obstacle detection system for the blind using depth image and machine learning
by: Surapol Vorapatratorn, et al.
Published: (2021-07-01) -
Probabilistic Models for 3D Urban Scene Understanding from Movable Platforms
Published: (2013) -
Stereo Vision-Based Gamma-Ray Imaging for 3D Scene Data Fusion
by: Pathum Rathnayaka, et al.
Published: (2019-01-01)