Using vanishing points for camera calibration
International Journal of Computer Vision
Euclidean structure from uncalibrated images
BMVC 94 Proceedings of the conference on British machine vision (vol. 2)
Modeling and rendering architecture from photographs: a hybrid geometry- and image-based approach
SIGGRAPH '96 Proceedings of the 23rd annual conference on Computer graphics and interactive techniques
IEEE Transactions on Pattern Analysis and Machine Intelligence
Structure and Motion from Line Segments in Multiple Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
3D Modelling Using Geometric Constraints: A Parallelepiped Based Approach
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part IV
Image-Based Geometrically-Correct Photorealistic Scene/Object Modeling (IBPhM): A Review
ACCV '98 Proceedings of the Third Asian Conference on Computer Vision-Volume II
Metric Rectification for Perspective Images of Planes
CVPR '98 Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
ICCV '98 Proceedings of the Sixth International Conference on Computer Vision
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This paper presents a 3-D reconstruction method IBM(image based modeling) of an image that does not contain any camera information. This system adopts a 3D reconstruction method based on a model. Model-based 3D reconstruction recovers an image using the geometric characteristics of a pre-defined polyhedron model. It uses a pre-defined polyhedron model as the primitive and the 3D reconstruction is processed by mapping the correspondence point of the primitive model onto the picture image. Existing model-based 3D reconstruction methods were used for the reconstruction of camera parameters or error method through iteration. However, we proposed a method for a primitive model that uses the segment and the center of the segment for the reconstruction process. This method enables the reconstruction of the primitive model to be processed using the minimum camera parameters (e.g. focal length) during the segment reconstruction process.