scispace - formally typeset
Proceedings ArticleDOI

3D reconstruction of indoor and outdoor building scenes from a single image

TLDR
A novel method is proposed able to automatically generate accurate 3D models of both outdoor buildings and indoor scenes with perspective cues from line segments that are automatically extracted from a single image with an uncalibrated camera.
Abstract
In this paper, a novel method is proposed able to automatically generate accurate 3D models of both outdoor buildings and indoor scenes with perspective cues from line segments that are automatically extracted from a single image with an uncalibrated camera. The proposed method uses geometric constraints and knowledge of photography and achieves an accurate, real-time and fully automated 3D reconstruction of the scene without any intervention from the user.

read more

Citations
More filters
Journal ArticleDOI

Fast and Easy 3D Reconstruction with the Help of Geometric Constraints and Genetic Algorithms

TL;DR: The combination between bundle adjustment and GAs that is proposed in order to improve 3D reconstruction efficiency and success and reduces the estimated parameter number in optimization step, decreasing used image number, winning time and stabilizing good quality of 3D results.
Proceedings ArticleDOI

Enhancement of 3D reconstruction process in terms of beautification and efficiency using geometric constraints

TL;DR: A comparative analysis is tried through a comparative analysis to proof the importance of geometric constraints use in 3D reconstruction in terms of results reliability, process speed and convergence rate.
Dissertation

Photogrammetric Multi-View Stereo and Imaging Network Design

TL;DR: The second part of the research described in this thesis addresses this challenge through the development and testing of a novel methodology capable of structuring the viewpoints into clusters and then selecting vantage images resulting in more effective processing whilst ensuring a specified level of coordinate precision and point cloud completeness.

3D Content Capturing and Reconstruction Using Microsoft Kinect Depth Camera

Miika Santala
TL;DR: The implementation of this work is able to obtain depth scans of the objects positioned on planar surfaces, filter the background data out from it and merge multiple scans in to a single point cloud presentation of the original object.
Proceedings ArticleDOI

Fast and efficient geometric constraints optimization for an automatic 3D modelling

TL;DR: A new method of 3D model elaboration that can beautify and optimize recovered 3D models correctly at acceptable speed and detect and eliminate redundant and inconsistent constraints use freedom degree analysis.
References
More filters
Book

Multiple view geometry in computer vision

TL;DR: In this article, the authors provide comprehensive background material and explain how to apply the methods and implement the algorithms directly in a unified framework, including geometric principles and how to represent objects algebraically so they can be computed and applied.

Multiple View Geometry in Computer Vision.

TL;DR: This book is referred to read because it is an inspiring book to give you more chance to get experiences and also thoughts and it will show the best book collections and completed collections.
Proceedings Article

Learning Depth from Single Monocular Images

TL;DR: This work begins by collecting a training set of monocular images (of unstructured outdoor environments which include forests, trees, buildings, etc.) and their corresponding ground-truth depthmaps, and applies supervised learning to predict the depthmap as a function of the image.
Proceedings ArticleDOI

Geometric context from a single image

TL;DR: This work shows that it can estimate the coarse geometric properties of a scene by learning appearance-based models of geometric classes, even in cluttered natural scenes, and provides a multiple-hypothesis framework for robustly estimating scene structure from a single image and obtaining confidences for each geometric label.
Journal ArticleDOI

Single View Metrology

TL;DR: An algebraic representation is developed which unifies the three types of measurement and permits a first order error propagation analysis to be performed, associating an uncertainty with each measurement.
Related Papers (5)