Reputation: 26889
I've implemented the Ramer–Douglas–Peucker line simplification algorithm in Rust, and it works correctly for epsilon values > 1.0. However, any value lower than that causes a stack overflow. How can I rewrite the function to avoid this?
// distance formula
pub fn distance(start: &[f64; 2], end: &[f64; 2]) -> f64 {
((start[0] - end[0]).powf(2.) + (start[1] - end[1]).powf(2.)).sqrt()
}
// perpendicular distance from a point to a line
pub fn point_line_distance(point: &[f64; 2], start: &[f64; 2], end: &[f64; 2]) -> f64 {
if start == end {
return distance(*&point, *&start);
} else {
let n = ((end[0] - start[0]) * (start[1] - point[1]) -
(start[0] - point[0]) * (end[1] - start[1]))
.abs();
let d = ((end[0] - start[0]).powf(2.0) + (end[1] - start[1]).powf(2.0)).sqrt();
n / d
}
}
// Ramer–Douglas-Peucker line simplification algorithm
pub fn rdp(points: &[[f64; 2]], epsilon: &f64) -> Vec<[f64; 2]> {
let mut dmax = 1.0;
let mut index: usize = 0;
let mut distance: f64;
for (i, _) in points.iter().enumerate().take(points.len() - 1).skip(1) {
distance = point_line_distance(&points[i],
&*points.first().unwrap(),
&*points.last().unwrap());
if distance > dmax {
index = i;
dmax = distance;
}
}
if dmax > *epsilon {
let mut intermediate = rdp(&points[..index + 1], &*epsilon);
intermediate.pop();
intermediate.extend_from_slice(&rdp(&points[index..], &*epsilon));
intermediate
} else {
vec![*points.first().unwrap(), *points.last().unwrap()]
}
}
fn main() {
let points = vec![[0.0, 0.0], [5.0, 4.0], [11.0, 5.5], [17.3, 3.2], [27.8, 0.1]];
// change this to &0.99 to overflow the stack
let foo: Vec<_> = rdp(&points, &1.0);
assert_eq!(foo, vec![[0.0, 0.0], [5.0, 4.0], [11.0, 5.5], [17.3, 3.2]]);
}
Upvotes: 0
Views: 308
Reputation: 2080
Look at the flow of rdp
. It's a recursive function that recurses on the condition that dmax > epsilon
. So, let's follow those variables as we step through it:
First, we set dmax
to 1.0. Then, if distance > dmax
, dmax
is set to distance
. So, there's no way for dmax
to ever be less than 1.0.
Then, if dmax > epsilon
, we recurse. This will always happen if epsilon < 1.0
.
If we look at the algorithm on wikipedia, you can see that dmax
should start at 0.0.
As an aside, you could make your distance functions a bit nicer with the hypot function.
Upvotes: 4