Performance of optical flow techniques
International Journal of Computer Vision
Randomized polygon search for planar motion detection
Pattern Recognition Letters
Uncalibrated obstacle detection using normal flow
Machine Vision and Applications
Planar motion detection by randomized triangle matching
Pattern Recognition Letters
Multiple view geometry in computer visiond
Multiple view geometry in computer visiond
Tracking persons in monocular image sequences
Computer Vision and Image Understanding
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
Beginning a Transition from a Local to a More Global Point of View in Model-Based Vehicle Tracking
ECCV '98 Proceedings of the 5th European Conference on Computer Vision-Volume I - Volume I
Lucas-Kanade 20 Years On: A Unifying Framework
International Journal of Computer Vision
Optical flow using color information: preliminary results
Proceedings of the 2008 ACM symposium on Applied computing
Estimation of mobile robot ego-motion and obstacle depth detection by using optical flow
SMC'09 Proceedings of the 2009 IEEE international conference on Systems, Man and Cybernetics
Model-based plane-segmentation using optical flow and dominant plane
MIRAGE'07 Proceedings of the 3rd international conference on Computer vision/computer graphics collaboration techniques
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
Visual navigation of mobile robot using optical flow and visual potential field
RobVis'08 Proceedings of the 2nd international conference on Robot vision
Appearance-based navigation and homing for autonomous mobile robot
Image and Vision Computing
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Dominant plane is an area which occupies the largest domain in the image. In this paper, we develop an algorithm for dominant plane detection using the optical flow. The dominant plane estimation is an essential task for the autonomous navigation and the path planning of the mobile robot, since the robot moves on the dominant plane. We show that the points on the dominant plane in a pair of two successive images are combined with an affine transformation if the mobile robot obtains successive images for optical flow computation. Therefore, our algorithm detects the dominant plane from images observed by an uncalibrated camera without any assumptions of camera displacement.