Abstract | ||
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Differential equations (ODEs or PDEs) appear in many computer vision fields. Shape from shading, optical flow, optics, and 3D motion are examples of such fields. Solving problems modeled by ODEs and PDEs can be accomplished by finding either an analytical solution, what is in general a difficult task, or by computing a numerical solution to the corresponding discrete scheme. Numerical solutions are usually more easily found with the aid of a computer. |
Year | DOI | Venue |
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1998 | 10.1007/978-94-015-9538-4_13 | Theoretical Foundations of Computer Vision |
Keywords | Field | DocType |
numerical solution schemes,differential equations,differential equation | Numerical methods for ordinary differential equations,Applied mathematics,Explicit and implicit methods,Exponential integrator,Computer science,Numerical partial differential equations,Differential algebraic equation,Examples of differential equations,Collocation method,Numerical stability | Conference |
ISBN | Citations | PageRank |
0-7923-6374-4 | 1 | 0.38 |
References | Authors | |
2 | 2 |
Name | Order | Citations | PageRank |
---|---|---|---|
Ryszard Kozera | 1 | 163 | 26.54 |
Reinhard Klette | 2 | 1743 | 228.94 |