A fast sequential method for polygonal approximation of digitized curves
Computer Vision, Graphics, and Image Processing
A Computational Approach to Edge Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence
CVGIP: Image Understanding
Alternative models for fish-eye lenses
Pattern Recognition Letters
Contour Matching Using Epipolar Geometry
IEEE Transactions on Pattern Analysis and Machine Intelligence
Paracatadioptric Camera Calibration
IEEE Transactions on Pattern Analysis and Machine Intelligence
Machine Vision and Applications
Acquiring a Radiance Distribution to Superimpose Virtual Objects onto a Real Scene
IEEE Transactions on Visualization and Computer Graphics
Structure and Motion from Line Segments in Multiple Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
Creating Image-Based VR Using a Self-Calibrating Fisheye Lens
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
Panoramic Mosaicing with a 180° Field of View Lens
OMNIVIS '02 Proceedings of the Third Workshop on Omnidirectional Vision
In defence of the 8-point algorithm
ICCV '95 Proceedings of the Fifth International Conference on Computer Vision
Paracatadioptric Camera Calibration Using Lines
ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
A Rational Function Lens Distortion Model for General Cameras
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 1 - Volume 01
Fundamental Matrix for Cameras with Radial Distortion
ICCV '05 Proceedings of the Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1 - Volume 01
Multi-View Geometry of 1D Radial Cameras and its Application to Omnidirectional Camera Calibration
ICCV '05 Proceedings of the Tenth IEEE International Conference on Computer Vision - Volume 2
A Generic Camera Model and Calibration Method for Conventional, Wide-Angle, and Fish-Eye Lenses
IEEE Transactions on Pattern Analysis and Machine Intelligence
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This paper presents a novel method for contour matching in the architectural scenes captured by the omnidirectional camera. Since most line segments of man-made objects are projected to lines and contours, contour matching problem is important for 3D analysis in an omnidirectional indoor scene. First, we compute an initial estimate of the camera parameters from corner points and correlation-based matching. Then, the obtained edges by Canny detector are linked and divided into separate 3D line segments. By using a minimum angular error of endpoints of each contour, we establish the corresponding contours, and the initial parameters are refined iteratively from the correspondences. The simulation results demonstrate that the algorithm precisely estimates the extrinsic parameters of the camera by contour matching.