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
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
Self-Calibration of Stationary Cameras
International Journal of Computer Vision
Computer Vision and Image Understanding
International Journal of Computer Vision
Multiple view geometry in computer vision
Multiple view geometry in computer vision
Self-Calibration of Rotating and Zooming Cameras
International Journal of Computer Vision
Statistical Optimization for Geometric Computation: Theory and Practice
Statistical Optimization for Geometric Computation: Theory and Practice
Euclidean Reconstruction from Uncalibrated Views
Proceedings of the Second Joint European - US Workshop on Applications of Invariance in Computer Vision
Autocalibration and the absolute quadric
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
A Stratified Approach to Metric Self-Calibration
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
Metric Rectification for Perspective Images of Planes
CVPR '98 Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
Using Geometric Constraints through Parallelepipeds for Calibration and 3D Modeling
IEEE Transactions on Pattern Analysis and Machine Intelligence
Reconstruction of structured scenes from two uncalibrated images
Pattern Recognition Letters
Extraction, matching, and pose recovery based on dominant rectangular structures
Computer Vision and Image Understanding
Camera Calibration and Direct Reconstruction from Plane with Brackets
Journal of Mathematical Imaging and Vision
What can we learn about the scene structure from three orthogonal vanishing points in images
Pattern Recognition Letters
Extraction, matching, and pose recovery based on dominant rectangular structures
Computer Vision and Image Understanding
3D primitive reconstruction using the line segment with single image
ICCSA'03 Proceedings of the 2003 international conference on Computational science and its applications: PartIII
Three dimensional reconstruction of structured scenes based on vanishing points
PCM'06 Proceedings of the 7th Pacific Rim conference on Advances in Multimedia Information Processing
Hi-index | 0.00 |
In this paper, efficient and generic tools for calibration and 3D reconstruction are presented. These tools exploit geometric constraints frequently present in man-made environments and allow camera calibration as well as scene structure to be estimated with a small amount of user interactions and little a priori knowledge. The proposed approach is based on primitives that naturally characterize rigidity constraints: parallelepipeds. It has been shown previously that the intrinsic metric characteristics of a parallelepiped are dual to the intrinsic characteristics of a perspective camera. Here, we generalize this idea by taking into account additional redundancies between multiple images of multiple parallelepipeds. We propose a method for the estimation of camera and scene parameters that bears strongsimilarities with some self-calibration approaches. Takingin to account prior knowledge on scene primitives or cameras, leads to simpler equations than for standard self-calibration, and is expected to improve results, as well as to allow structure and motion recovery in situations that are otherwise under-constrained. These principles are illustrated by experimental calibration results and several reconstructions from uncalibrated images.