IEEE Transactions on Pattern Analysis and Machine Intelligence
Performance of optical flow techniques
International Journal of Computer Vision
Uncalibrated obstacle detection using normal flow
Machine Vision and Applications
Multiple view geometry in computer visiond
Multiple view geometry in computer visiond
3D environment modeling from multiple cylindrical panoramic images
Panoramic vision
Vision for Mobile Robot Navigation: A Survey
IEEE Transactions on Pattern Analysis and Machine Intelligence
Smoothness in Layers: Motion segmentation using nonparametric mixture estimation.
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
Optic flow and beyond
Segmentation of a Piece-Wise Planar Scene from Perspective Images
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 1 - Volume 01
Two-View Geometry Estimation Unaffected by a Dominant Plane
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 1 - Volume 01
Accurate Motion Layer Segmentation and Matting
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 2 - Volume 02
Dominant plane detection from optical flow for robot navigation
Pattern Recognition Letters
Recognition and Segmentation of Scene Content using Region-Based Classification
ICPR '06 Proceedings of the 18th International Conference on Pattern Recognition - Volume 01
An iterative image registration technique with an application to stereo vision
IJCAI'81 Proceedings of the 7th international joint conference on Artificial intelligence - Volume 2
Variational motion segmentation with level sets
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part I
Dense estimation and object-based segmentation of the optical flow with robust techniques
IEEE Transactions on Image Processing
Independent component analysis of layer optical flow and its application
BVAI'07 Proceedings of the 2nd international conference on Advances in brain, vision and artificial intelligence
Action recognition with appearance-motion features and fast search trees
Computer Vision and Image Understanding
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In this paper, we propose an algorithm for plane segmentation using an optical flow field computed from successive images captured by an uncalibrated moving camera. The proposing method does not require any restrictions on the camera motion and the camera-configuration geometry. Our segmentation algorithm is based on the algorithm of dominant-plane detection. The dominant plane is a planar area in the world, and it corresponds to the largest part of an image. By iterative processing dominant-plane detection, our algorithm detects multiple planes in an image. We present experimental results using image sequences observed with a moving camera in a synthesized environment and a real environment.