3-D Scene Data Recovery Using Omnidirectional Multibaseline Stereo
International Journal of Computer Vision
Linear Differential Algorithm for Motion Recovery: AGeometric Approach
International Journal of Computer Vision
Visual Surveillance for Moving Vehicles
International Journal of Computer Vision - Special issue on a special section on visual surveillance
Model-Based Brightness Constraints: On Direct Estimation of Structure and Motion
IEEE Transactions on Pattern Analysis and Machine Intelligence
Optimization Criteria and Geometric Algorithms for Motion and Structure Estimation
International Journal of Computer Vision
A New Structure-from-Motion Ambiguity
IEEE Transactions on Pattern Analysis and Machine Intelligence
Optimization Criteria, Sensitivity and Robustness of Motion and Structure Estimation
ICCV '99 Proceedings of the International Workshop on Vision Algorithms: Theory and Practice
Optimal Structure from Motion: Local Ambiguities and Global Estimates
CVPR '98 Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
A General Approach for Egomotion Estimation with Omnidirectional Images
OMNIVIS '02 Proceedings of the Third Workshop on Omnidirectional Vision
Structure from Motion Using Sequential Monte Carlo Methods
International Journal of Computer Vision
An Efficient Solution to the Five-Point Relative Pose Problem
IEEE Transactions on Pattern Analysis and Machine Intelligence
The least-squares error for structure from infinitesimal motion
International Journal of Computer Vision
A hierarchy of cameras for 3D photography
Computer Vision and Image Understanding - Model-based and image-based 3D scene representation for interactive visalization
Alignment of Continuous Video onto 3D Point Clouds
IEEE Transactions on Pattern Analysis and Machine Intelligence
Fast camera motion estimation for hand-held devices and applications
MUM '05 Proceedings of the 4th international conference on Mobile and ubiquitous multimedia
Optimal instantaneous rigid motion estimation insensitive to local minima
Computer Vision and Image Understanding
Self-recalibration of a structured light system via plane-based homography
Pattern Recognition
An optical navigation sensor for micro aerial vehicles
Computer Vision and Image Understanding
Acquisition of translational motion by the parallel trinocular
Information Sciences: an International Journal
Camera Motion Estimation Through Planar Deformation Determination
Journal of Mathematical Imaging and Vision
Computational Tasks in Bronchoscope Navigation During Computer-Assisted Transbronchial Biopsy
ICCS '08 Proceedings of the 8th international conference on Computational Science, Part III
Computational tasks in computer-assisted transbronchial biopsy
Future Generation Computer Systems
Vision-based Position Control of a Two-rotor VTOL miniUAV
Journal of Intelligent and Robotic Systems
Estimation of the epipole using optical flow at antipodal points
Computer Vision and Image Understanding
Robust monocular detection of independent motion by a moving observer
IWCM'04 Proceedings of the 1st international conference on Complex motion
CVPR'03 Proceedings of the 2003 IEEE computer society conference on Computer vision and pattern recognition
Object segmentation in videos from moving camera with MRFs on color and motion features
CVPR'03 Proceedings of the 2003 IEEE computer society conference on Computer vision and pattern recognition
A phase discrepancy analysis of object motion
ACCV'10 Proceedings of the 10th Asian conference on Computer vision - Volume Part III
A Variational Framework for Structure from Motion in Omnidirectional Image Sequences
Journal of Mathematical Imaging and Vision
A review and evaluation of methods estimating ego-motion
Computer Vision and Image Understanding
Camera motion estimation and moving object detection based on local feature tracking
IEA/AIE'12 Proceedings of the 25th international conference on Industrial Engineering and Other Applications of Applied Intelligent Systems: advanced research in applied artificial intelligence
Adapted Approach for Omnidirectional Egomotion Estimation*
International Journal of Computer Vision and Image Processing
A Novel Space Variant Image Representation
Journal of Mathematical Imaging and Vision
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We evaluated six algorithms for computing egomotion from image velocities. We established benchmarks for quantifying bias and sensitivity to noise, and for quantifying the convergence properties of those algorithms that require numerical search. Our simulation results reveal some interesting and surprising results. First, it is often written in the literature that the egomotion problem is difficult because translation (e.g., along the X-axis) and rotation (e.g., about the Y-axis) produce similar image velocities. We found, to the contrary, that the bias and sensitivity of our six algorithms are totally invariant with respect to the axis of rotation. Second, it is also believed by some that fixating helps to make the egomotion problem easier. We found, to the contrary, that fixating does not help when the noise is independent of the image velocities. Fixation does help if the noise is proportional to speed, but this is only for the trivial reason that the speeds are slower under fixation. Third, it is widely believed that increasing the field of view will yield better performance. We found, to the contrary, that this is not necessarily true.