IEEE Transactions on Pattern Analysis and Machine Intelligence
Camera Calibration: A Quick and Easy Way to Determine the Scale Factor
IEEE Transactions on Pattern Analysis and Machine Intelligence
Group Theoretical Methods in Image Understanding
Group Theoretical Methods in Image Understanding
A representation for composition of virtual indoor environment
VRST '98 Proceedings of the ACM symposium on Virtual reality software and technology
Intensity- and Gradient-Based Stereo Matching Using Hierarchical Gaussian Basis Functions
IEEE Transactions on Pattern Analysis and Machine Intelligence
Implementing a Multi-Model Estimation Method
International Journal of Computer Vision
A Simplified Field-of-View Calibration Technique for an Operating Microscope
MICCAI '01 Proceedings of the 4th International Conference on Medical Image Computing and Computer-Assisted Intervention
Lens Distortion Recovery for Accurate Sequential Structure and Motion Recovery
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part II
Camera calibration based on receptive fields
Pattern Recognition
Parameter-Free Radial Distortion Correction with Center of Distortion Estimation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Development of a 3D High-Precise Positioning System Based on a Planar Target and Two CCD Cameras
ICIRA '08 Proceedings of the First International Conference on Intelligent Robotics and Applications: Part II
Multiview trajectory mapping using homography with lens distortion correction
Journal on Image and Video Processing - Regular
Robust metric calibration of non-linear camera lens distortion
Pattern Recognition
Efficient generic calibration method for general cameras with single centre of projection
Computer Vision and Image Understanding
Efficient multiple phase shift patterns for dense 3D acquisition in structured light scanning
Image and Vision Computing
A simple method for correcting lens distortion in low-cost camera using geometric invariability
ICIC'10 Proceedings of the Advanced intelligent computing theories and applications, and 6th international conference on Intelligent computing
Camera Models and Fundamental Concepts Used in Geometric Computer Vision
Foundations and Trends® in Computer Graphics and Vision
Incremental learning method for unified camera calibration
ICONIP'06 Proceedings of the 13th international conference on Neural Information Processing - Volume Part II
A Least Squares Solution for Camera Distortion Parameters
Journal of Mathematical Imaging and Vision
An informatics-based approach to object tracking for distributed live video computing
Multimedia Tools and Applications
Hi-index | 0.14 |
By implicit camera calibration, we mean the process of calibrating a camera without explicitly computing its physical parameters. Implicit calibration can be used for both three-dimensional (3-D) measurement and generation of image coordinates. In this paper, we present a new implicit model based on the generalized projective mappings between the image plane and two calibration planes. The back-projection and projection processes are modelled separately to ease the computation of distorted image coordinates from known world points. A set of constraints of perspectivity is derived to relate the transformation parameters of the two calibration planes. Under the assumption of the radial distortion model, we present a computationally efficient method for explicitly correcting the distortion of image coordinates in frame buffer without involving the computation of camera position and orientation. By combining with any linear calibration techniques, this method makes explicit the camera physical parameters. Extensive experimental comparison of our methods with the classic photogrammetric method and Tsai's (1986) method in the aspects of 3-D measurement (both absolute and relative errors), the prediction of image coordinates, and the effect of the number of calibration points, is made using real images from 15 different depth values.