Automatic Pose Estimation of Complex 3D Building Models

Authors:
Sung Chun Lee;Soon Ki Jung;Ram. Nevatia
Affiliations:
-;-;-
Venue:
WACV '02 Proceedings of the Sixth IEEE Workshop on Applications of Computer Vision
Year:
2002

Citing 0
Cited 7

Visual-model-based, real-time 3D pose tracking for autonomous navigation: methodology and experiments

Autonomous Robots
Visibility-Based Test Scene Understanding by Real Plane Search

ISVC '08 Proceedings of the 4th International Symposium on Advances in Visual Computing, Part II
Visibility-based modelling and control for network-based robotics

Pattern Recognition Letters
Spatial Modelling for Mobile Robot's Vision-based Navigation

Journal of Intelligent and Robotic Systems
SAMATS – edge highlighting and intersection rating explained

ER'05 Proceedings of the 24th international conference on Perspectives in Conceptual Modeling
SAMATS – triangle grouping and structure recovery for 3d building modeling and visualization

W2GIS'05 Proceedings of the 5th international conference on Web and Wireless Geographical Information Systems
A web platform for the consultation of spatialized and semantically enriched iconographic sources on cultural heritage buildings

Journal on Computing and Cultural Heritage (JOCCH)

Quantified Score

Hi-index	0.00

Visualization

Abstract

3D models of urban sites with geometry and facadetextures are needed for many planning and visualizationapplications. Approximate 3D wireframe model can bederived from aerial images but detailed textures must beobtained from ground level images. Integrating such viewswith the 3D models is difficult as only small parts of buildingsmay be visible in a single view. We describe a methodthat uses two or three vanishing points, and three 3D to2D line correspondences to estimate the rotational andtranslational parameters of the ground level cameras. Thevalid set of multiple combinations of 3D to 2D line pairs ischosen by a hypotheses generation and evaluation Someexperimental results are presented.