Automatic Camera Calibration from a Single Manhattan Image
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part IV
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part IV
Manhattan World: Compass Direction from a Single Image by Bayesian Inference
ICCV '99 Proceedings of the International Conference on Computer Vision-Volume 2 - Volume 2
Interpreting perspective images
Artificial Intelligence
Single view based pose estimation from circle or parallel lines
Pattern Recognition Letters
What can we learn about the scene structure from three orthogonal vanishing points in images
Pattern Recognition Letters
Vanishing point detection with an intersection point neighborhood
DGCI'09 Proceedings of the 15th IAPR international conference on Discrete geometry for computer imagery
Simultaneous estimation of vanishing points and their converging lines using the EM algorithm
Pattern Recognition Letters
Vanishing point detection using cascaded 1D Hough Transform from single images
Pattern Recognition Letters
| Hi-index | 0.10 |
In this paper, inverted coordinates image space (ICIS) is proposed as a solution for the problem of the unbounded accumulator space in the automatic detection of the finite/infinite vanishing points in image space. Since the ICIS is based on the direct transformation from the image space, it does not lose any geometrical information from the original image and it does not require camera calibration as opposed to the Gaussian sphere based methods. Moreover, the proposed method can accurately detect both the finite and infinite vanishing points under a small fixed memory amount as opposed to the conventional image space based methods. Experiments are conducted on various real images in architectural environments to show the advantages of the proposed approach over conventional methods.