IEEE Transactions on Pattern Analysis and Machine Intelligence
Structure from motion using line correspondences
International Journal of Computer Vision
International Journal of Computer Vision
Dynamic aspects in active vision
CVGIP: Image Understanding - Special issue on purposive, qualitative, active vision
Robust and fast computation of edge characteristics in image sequences
International Journal of Computer Vision
International Journal of Computer Vision - Special issue: image understanding research at the University of Maryland
Optical flow from 1-D correlation: application to a simple time-to-crash detector
International Journal of Computer Vision - Special issue on qualitative vision
Passive navigation as a pattern recognition problem
International Journal of Computer Vision - Special issue on qualitative vision
On the Geometry of Visual Correspondence
International Journal of Computer Vision
Theory of Reconstruction from Image Motion
Theory of Reconstruction from Image Motion
Ambiguity in Structure from Motion: Sphere versus Plane
International Journal of Computer Vision
Structure from Motion: Beyond the Epipolar Constraint
International Journal of Computer Vision
Epipolar Geometry for Central Catadioptric Cameras
International Journal of Computer Vision
Beyond the Epipolar Constraint: Integrating 3D Motion and Structure Estimation
SMILE'98 Proceedings of the European Workshop on 3D Structure from Multiple Images of Large-Scale Environments
Reliable 3D Reconstruction from a Few Catadioptric Images
OMNIVIS '02 Proceedings of the Third Workshop on Omnidirectional Vision
Estimation of the epipole using optical flow at antipodal points
Computer Vision and Image Understanding
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If instead of the full motion field, we consider only the directionof the motion field due to a rigid motion, what can we say about thethree-dimensional motion information contained in it? This paper provides ageometric analysis of this question based solely on the constraint that thedepth of the surfaces in view is positive. The motivation behind thisanalysis is to provide a theoretical foundation for image constraintsemploying only the sign of flow in various directions and justify theirutilization for addressing 3D dynamic vision problems.It is shown that, considering as the imaging surface the whole sphere,independently of the scene in view, two different rigid motions cannot giverise to the same directional motion field. If we restrict the image to halfof a sphere (or an infinitely large image plane) two different rigid motionswith instantaneous translational and rotational velocities(t_1ω_1) and(t_2,ω_2) cannot give rise to the samedirectional motion field unless the plane through t_1 andt_2 is perpendicular to the plane throughω_1 and ω_2 (i.e., (t_1× t_2) · (ω_1 ×ω_2) = 0. In addition, in order to give practicalsignificance to these uniqueness results for the case of a limited field ofview, we also characterize the locations on the image where the motionvectors due to the different motions must have different directions.If (ω_1 × ω_2) ·(t_1 × t_2) = 0 and certainadditional constraints are met, then the two rigid motions could producemotion fields with the same direction. For this to happen the depth of eachcorresponding surface has to be within a certain range, defined by a secondand a third order surface. Similar more restrictive constraints are obtainedfor the case of multiple motions. Consequently, directions of motion fieldsare hardly ever ambiguous. A byproduct of the analysis is that full motionfields are never ambiguous with a half sphere as the imaging surface.