Huge News!Announcing our $40M Series B led by Abstract Ventures.Learn More
Socket
Sign inDemoInstall
Socket

points-on-curve

Package Overview
Dependencies
Maintainers
1
Versions
6
Alerts
File Explorer

Advanced tools

Socket logo

Install Socket

Detect and block malicious and high-risk dependencies

Install

points-on-curve

Estimate points on a bezier curve or a set of connexted bezier curves

  • 1.0.1
  • latest
  • Source
  • npm
  • Socket score

Version published
Weekly downloads
300K
increased by12.58%
Maintainers
1
Weekly downloads
 
Created
Source

points-on-curve

This package calculate the points on a curve with a certain tolerance. It can also simplify the shape to use fewer points. This can really be useful when estimating lines/polygons for curves in WebGL or for Hit/Collision detections.

Install

From npm

npm install --save points-on-curve

The package is distributed as an ES6 module.

API

pointsOnBezierCurves(points: Point[], tolerance?: number, distance?: number): Point[]

You pass in the points representing a bezier curve. Each point is an array of two numbers e.g. [100, 123].

The points can also be a set of continuous curves where the last poing on the Nth curve acts as the first point of the next.

import { pointsOnBezierCurves } from 'points-on-curve';

const curve = [[70,240],[145,60],[275,90],[300,230]];
const points = pointsOnBezierCurves(curve);
// plotPoints(points);

points on bezier

Same can be rendered with more tolerance (default value is 0.15):

const points = pointsOnBezierCurves(curve, 0.7);

points on bezier with 0.7 tolerance

Note that this method does not accept the number of points to render, but takes in a tolerance level which allows for better distribution of points.

The value of tolerance can be between 0 and 1. It is used to decide how many points are needed in a section of the curve. The algorithm determined the flatness of a section of the curve and compares it to the tolerance level, if less flat, the segment gets further divided into 2 segments.

Simplifying path

Based on the tolerance alone, this algorithm nicely provides enough points to represent a curve. It does not, however, efficiently get rid of unneeded points. The second optional argument in function, distance helps with that. If a distance value is provided, the method uses the Ramer–Douglas–Peucker algorithm to reduce the points.

const points = pointsOnBezierCurves(curve, 0.2, 0.15);

Following are the points generated with distance values of 0.15, 0.75, 1.5, and 3.0

points with 0.15d points with 0.75d points with 1.5d points with 3.0d

curveToBezier(pointsIn: Point[]): Point[]

Sometimes it's hard to think of shape as a set of cubic bezier curves, each curve with 2 controls points. It is simple to just think of them as a curve passing through a set of points.

This method turns those set of points to a set of points representing bezier curves.

import { curveToBezier } from 'points-on-curve/lib/curve-to-bezier.js';

const curvePoints = [
  [20, 240],
  [95, 69],
  [225, 90],
  [250, 180],
  [290, 220],
  [380, 80],
];
const bcurve = curveToBezier(curvePoints);
// .. Plot bcurve

Curve through points

Now that we have bezier points, these could be passed to pointsOnBezierCurves function to get the points on the curve

Curve through points

License

MIT License

Keywords

FAQs

Package last updated on 23 Sep 2023

Did you know?

Socket

Socket for GitHub automatically highlights issues in each pull request and monitors the health of all your open source dependencies. Discover the contents of your packages and block harmful activity before you install or update your dependencies.

Install

Related posts

SocketSocket SOC 2 Logo

Product

  • Package Alerts
  • Integrations
  • Docs
  • Pricing
  • FAQ
  • Roadmap
  • Changelog

Packages

npm

Stay in touch

Get open source security insights delivered straight into your inbox.


  • Terms
  • Privacy
  • Security

Made with ⚡️ by Socket Inc