The representation, recognition, and locating of 3-d objects
International Journal of Robotics Research
HYPER: A New Approach for the Recognition and Positioning of Two-Dimensional Objects
IEEE Transactions on Pattern Analysis and Machine Intelligence
3-D motion estimation, understanding, and prediction from nosiy image sequences
IEEE Transactions on Pattern Analysis and Machine Intelligence
Localizing Overlapping Parts by Searching the Interpretation Tree
IEEE Transactions on Pattern Analysis and Machine Intelligence
Least-Squares Fitting of Two 3-D Point Sets
IEEE Transactions on Pattern Analysis and Machine Intelligence
Matching geometrical descriptions in three-space
Image and Vision Computing - Special issue: papers from the second Alvey Vision Conference
Maximal matching of 3-D points for multiple-object motion estimation
Pattern Recognition
Maintaining representations of the environment of a mobile robot
Proceedings of the 4th international symposium on Robotics Research
Motion Estimation with More than Two Frames
IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Transactions on Pattern Analysis and Machine Intelligence
Motion from point matches: multiple of solutions
International Journal of Computer Vision
A few steps toward artificial 3-D vision
Robotics science
ACM Computing Surveys (CSUR)
Perceptual Organization and Visual Recognition
Perceptual Organization and Visual Recognition
Measurement of Visual Motion
Robot Vision
Artificial Vision for Mobile Robots: Stereo Vision and Multisensory Perception
Artificial Vision for Mobile Robots: Stereo Vision and Multisensory Perception
Practical Structure and Motion from Stereo When Motion is Unconstrained
International Journal of Computer Vision
Optic Flow Field Segmentation and Motion Estimation Using a Robust Genetic Partitioning Algorithm
IEEE Transactions on Pattern Analysis and Machine Intelligence
Multi-Scale 3D Scene Flow from Binocular Stereo Sequences
WACV-MOTION '05 Proceedings of the IEEE Workshop on Motion and Video Computing (WACV/MOTION'05) - Volume 2 - Volume 02
Vision-Based SLAM: Stereo and Monocular Approaches
International Journal of Computer Vision
Multi-View AAM Fitting and Construction
International Journal of Computer Vision
Multi-View AAM Fitting and Construction
International Journal of Computer Vision
Multi-scale 3D scene flow from binocular stereo sequences
Computer Vision and Image Understanding
Visual odometry for robust rover navigation by binocular stereo
SSIP'06 Proceedings of the 6th WSEAS International Conference on Signal, Speech and Image Processing
Ego-motion computing for vehicle velocity estimation
EUROCAST'07 Proceedings of the 11th international conference on Computer aided systems theory
Scene flow estimation from stereo video source
ACAI '11 Proceedings of the International Conference on Advances in Computing and Artificial Intelligence
Consistent Binocular Depth and Scene Flow with Chained Temporal Profiles
International Journal of Computer Vision
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A method for estimating 3D displacements from two stereo frames is presented. It is based on the hypothesize-and-verify paradigm used to match 3D line segments between the two frames. In order to reduce the complexity of the method, an assumption is made that objects are rigid. The formulate a set of complete rigidity constraints for 3D line segments and integrate the uncertainty of measurements in this formation. The hypothesize-and-verify stages of the method use an extended Kalman filter to produce estimates of the displacements and of their uncertainty. The algorithm is shown to work on indoor and natural scenes. It is also shown to be easily extended to the case in which several mobile objects are present. The method is quite robust, fast, and has been thoroughly tested on hundreds of real stereo frames.