Smoothly merging two parametric curves












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Let's imagine that an object follows a path described by the known parametric curve $t(s)$ for $s geq 0$. Now, another object follows another curve $c(s)$, that goes through a known point $c_0$. I want to fit this $c(s)$ curve (say, a quadratic polynomial), so that it smoothly merges with $t(s)$. Basically, as $s$ increases, $c(s)$ and $t(s)$ should end up being pretty much the same. For simplicity, let's say that both $t(s)$ and $c(s)$ are quadratic curves.



I am guessing I need to optimise some kind of objective involving both the distance between $c(s)$ and $t(s)$, as well as the derivative of $c(s)$. Of course, there will be a hyperparameter to control how smooth we want to be, vs. how fast we want the merging to happen.



The figure below shows what I mean by "smooth merging".



enter image description here



Is there any established method to deal with this problem?



I also need this to be computationally fairly fast, but that shouldn't be a problem for a 1D problem.










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    1














    Let's imagine that an object follows a path described by the known parametric curve $t(s)$ for $s geq 0$. Now, another object follows another curve $c(s)$, that goes through a known point $c_0$. I want to fit this $c(s)$ curve (say, a quadratic polynomial), so that it smoothly merges with $t(s)$. Basically, as $s$ increases, $c(s)$ and $t(s)$ should end up being pretty much the same. For simplicity, let's say that both $t(s)$ and $c(s)$ are quadratic curves.



    I am guessing I need to optimise some kind of objective involving both the distance between $c(s)$ and $t(s)$, as well as the derivative of $c(s)$. Of course, there will be a hyperparameter to control how smooth we want to be, vs. how fast we want the merging to happen.



    The figure below shows what I mean by "smooth merging".



    enter image description here



    Is there any established method to deal with this problem?



    I also need this to be computationally fairly fast, but that shouldn't be a problem for a 1D problem.










    share|cite|improve this question

























      1












      1








      1







      Let's imagine that an object follows a path described by the known parametric curve $t(s)$ for $s geq 0$. Now, another object follows another curve $c(s)$, that goes through a known point $c_0$. I want to fit this $c(s)$ curve (say, a quadratic polynomial), so that it smoothly merges with $t(s)$. Basically, as $s$ increases, $c(s)$ and $t(s)$ should end up being pretty much the same. For simplicity, let's say that both $t(s)$ and $c(s)$ are quadratic curves.



      I am guessing I need to optimise some kind of objective involving both the distance between $c(s)$ and $t(s)$, as well as the derivative of $c(s)$. Of course, there will be a hyperparameter to control how smooth we want to be, vs. how fast we want the merging to happen.



      The figure below shows what I mean by "smooth merging".



      enter image description here



      Is there any established method to deal with this problem?



      I also need this to be computationally fairly fast, but that shouldn't be a problem for a 1D problem.










      share|cite|improve this question













      Let's imagine that an object follows a path described by the known parametric curve $t(s)$ for $s geq 0$. Now, another object follows another curve $c(s)$, that goes through a known point $c_0$. I want to fit this $c(s)$ curve (say, a quadratic polynomial), so that it smoothly merges with $t(s)$. Basically, as $s$ increases, $c(s)$ and $t(s)$ should end up being pretty much the same. For simplicity, let's say that both $t(s)$ and $c(s)$ are quadratic curves.



      I am guessing I need to optimise some kind of objective involving both the distance between $c(s)$ and $t(s)$, as well as the derivative of $c(s)$. Of course, there will be a hyperparameter to control how smooth we want to be, vs. how fast we want the merging to happen.



      The figure below shows what I mean by "smooth merging".



      enter image description here



      Is there any established method to deal with this problem?



      I also need this to be computationally fairly fast, but that shouldn't be a problem for a 1D problem.







      regression parametric curves parameter-estimation






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      share|cite|improve this question











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      share|cite|improve this question










      asked Nov 27 '18 at 10:25









      francoisrfrancoisr

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