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This paper addresses the motion correspondence problem: the problem of finding corresponding point measurements in an image sequence solely based on positional information.
This method raises the fundamental correspondence problem, that is finding points p i,i=1…N in F that anatomically correspond to other points q i in F ′.
This outlier rejection problem further complicates an already difficult correspondence problem.
We present here a novel stimulus that presents a more complex correspondence problem.
To design a system with multi vision sensors, we should to solve the correspondence problem.
Feature-based methods for non-rigid registration frequently encounter the correspondence problem.
Similar(17)
An Interactive Approach to Solving Correspondence Problems.
We show here that given an RSRL-formula and a finite RSRL-interpretation it is in general not decidable if the formula is true in the given interpretation by reduction to Post Correspondence Problems.
To prevent inter-frame voxel correspondence problems, we use the overall AABB of the mesh sequences.
Examples can be constructed by encoding instances of solvable post correspondence problems by means of constraint set satisfiability, using Smith's scheme [18].
Depending on the application, a successful vectorization of an image's depictions can be utilized to solve matching or correspondence problems.
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