A probabilistic Hough transform
Pattern Recognition
Extraction of Straight Lines in Aerial Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
Omniview Cameras with Curved Surface Mirrors
OMNIVIS '00 Proceedings of the IEEE Workshop on Omnidirectional Vision
A Complete Panoramic Vision System, Incorporating Imaging, Ranging, and Three Dimensional Navigation
OMNIVIS '00 Proceedings of the IEEE Workshop on Omnidirectional Vision
Approximating a Single Viewpoint in Panoramic Imaging Devices
OMNIVIS '00 Proceedings of the IEEE Workshop on Omnidirectional Vision
Segmentation, Tracking and Interpretation Using Panoramic Video
OMNIVIS '00 Proceedings of the IEEE Workshop on Omnidirectional Vision
Construction of an Immersive Mixed Environment Using an Omnidirectional Stereo Image Sensor
OMNIVIS '00 Proceedings of the IEEE Workshop on Omnidirectional Vision
Omni-Directional Vision for Robot Navigation
OMNIVIS '00 Proceedings of the IEEE Workshop on Omnidirectional Vision
ICPR '96 Proceedings of the 1996 International Conference on Pattern Recognition (ICPR '96) Volume I - Volume 7270
3D Estimation using Panoramic Stereo
ICPR '00 Proceedings of the International Conference on Pattern Recognition - Volume 1
Panoramic stereo reconstruction using non-SVP optics
Computer Vision and Image Understanding
Spherical Edge Detector: Application to Omnidirectional Imaging
ACIVS '08 Proceedings of the 10th International Conference on Advanced Concepts for Intelligent Vision Systems
Panoramic stereo reconstruction using non-SVP optics
Computer Vision and Image Understanding
Vocal folds vascularization level analysis using Hough Transform
BioMED '08 Proceedings of the Sixth IASTED International Conference on Biomedical Engineering
A 2-point algorithm for 3D reconstruction of horizontal lines from a single omni-directional image
Pattern Recognition Letters
Edge Detection by Maximum Entropy: Application to Omnidirectional and Perspective Images
International Journal of Computer Vision and Image Processing
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Omni-directional sensors are useful in obtaining a 360° field-of-view. With a radially symmetric mirror and conventional lens system this can be achieved with a single camera. There are several proposed profiles for the mirror, but most violate the single viewpoint (SVP) criteria necessary to allow functional equivalence to the standard perspective projection, posing challenges that have not yet been addressed in the literature. Such a imaging system with a non-SVP optical system do not benefit from the affine quality of straight line features being represented as collinear points in the image plane. To utilize these non-SVP mirrors, a new method to recognize such features is required. This work describes an approach to detecting features in panoramic non-SVP images using a modified Hough transform. A mathematical model for this feature extraction process is given. Experimental results are presented to validate this model and show robust performance in identifying line features with only estimated calibration.