Title
Architectural Scenes Reconstruction from Uncalibrated Photos and Map Based Model Knowledge
Abstract
In this paper we consider the problem of reconstructing architectural scenes from multiple photographs taken from arbitrarily viewpoints. The original contribution of this work is the use of a map as a source of a priori knowledge and geometric constraints in order to obtain in a fast and simple way a detailed model of a scene. We suppose images are uncalibrated and have at least one planar structure as a façade for exploiting the planar homography induced between world plane and image to calculate a first estimation of the projection matrix. Estimations are improved by using correspondences between images and map. We show how these simple constraints can be used to calibrate the cameras, to recover the projection matrices for each viewpoint, and to obtain 3D models by using triangulation.
Year
DOI
Venue
2001
10.1007/3-540-45411-X_37
AI*IA
Keywords
Field
DocType
original contribution,multiple photograph,planar structure,planar homography,projection matrix,detailed model,model knowledge,geometric constraint,uncalibrated photos,architectural scenes reconstruction,world plane,architectural scene,simple constraint,a priori knowledge
Iterative reconstruction,Computer vision,Computer science,Matrix (mathematics),A priori and a posteriori,Projection (linear algebra),Homography,Triangulation (social science),Artificial intelligence,Knowledge base,Trifocal tensor
Conference
ISBN
Citations 
PageRank 
3-540-42601-9
1
0.36
References 
Authors
17
2
Name
Order
Citations
PageRank
Ignazio Infantino115132.13
Antonio Chella237465.74