Building face reconstruction from sparse view of monocular camera

Authors:
My-Ha Le;Kang-Hyun Jo
Affiliations:
Graduated School of Electrical Engineering, University of Ulsan, Ulsan, Korea;Graduated School of Electrical Engineering, University of Ulsan, Ulsan, Korea
Venue:
ICIC'11 Proceedings of the 7th international conference on Advanced Intelligent Computing Theories and Applications: with aspects of artificial intelligence
Year:
2011

Citing 23
Cited 0

Using vanishing points for camera calibration

International Journal of Computer Vision
A theory of self-calibration of a moving camera

International Journal of Computer Vision
Self-Calibration of a Moving Camera from PointCorrespondences and Fundamental Matrices

International Journal of Computer Vision
Self-Calibration and Metric Reconstruction Inspite of Varying and Unknown Intrinsic Camera Parameters

International Journal of Computer Vision - 1998 Marr Prize
A Case Against Kruppa's Equations for Camera Self-Calibration

IEEE Transactions on Pattern Analysis and Machine Intelligence
A Flexible New Technique for Camera Calibration

IEEE Transactions on Pattern Analysis and Machine Intelligence
Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography

Communications of the ACM
Calibration, pose and novel views from single images of constrained scenes

Pattern Recognition Letters - Selected papers from the 11th scandinavian conference on image analysis
Optimization Criteria and Geometric Algorithms for Motion and Structure Estimation

International Journal of Computer Vision
Estimation of Relative Camera Positions for Uncalibrated Cameras

ECCV '92 Proceedings of the Second European Conference on Computer Vision
Autocalibration from Planar Scenes

ECCV '98 Proceedings of the 5th European Conference on Computer Vision-Volume I - Volume I
Video Compass

ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part IV
Kruppa Equation Revisited: Its Renormalization and Degeneracy

ECCV '00 Proceedings of the 6th European Conference on Computer Vision-Part II
Euclidean Reconstruction from Uncalibrated Views

Proceedings of the Second Joint European - US Workshop on Applications of Invariance in Computer Vision
Euclidean Reconstruction from Constant Intrinsic Parameters

ICPR '96 Proceedings of the 1996 International Conference on Pattern Recognition (ICPR '96) Volume I - Volume 7270
Object Recognition from Local Scale-Invariant Features

ICCV '99 Proceedings of the International Conference on Computer Vision-Volume 2 - Volume 2
Multiple View Geometry in Computer Vision

Multiple View Geometry in Computer Vision
From Projective to Euclidean Space Under any Practical Situation, a Criticism of Self-Calibration

ICCV '98 Proceedings of the Sixth International Conference on Computer Vision
Distinctive Image Features from Scale-Invariant Keypoints

International Journal of Computer Vision
Stabilizing the Focal Length Computation for 3-D Reconstruction from Two Uncalibrated Views

International Journal of Computer Vision
Focal length calibration from two views: method and analysis of singular cases

Computer Vision and Image Understanding
Supervised training database for building recognition by using cross ratio invariance and SVD-based method

Applied Intelligence
SURF: speeded up robust features

ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part I

Quantified Score

Hi-index	0.00

Visualization

Abstract

This paper proposes a method for building detection and 3D reconstruction of building face from sparse view of monocular camera. According to this method, building faces are detected by using color, straight line, edge and vanishing point. In the next step, building faces from multi view are extracted. Point clouds of building face are obtained from triangulation step. The building faces are reconstructed by plane fitting afterward. The simulation results will demonstrate the effectiveness of this method.