quadtree

Efficient (and well explained) implementation of a Quadtree for 2D collision detection [closed]

由 生来就可爱ヽ(ⅴ＜●) 提交于 2019-11-27 06:11:41
I've been working on adding a Quadtree to a program that I'm writing, and I can't help but notice that there are few well explained/performing tutorials for the implementation that I'm looking for. Specifically, a list of the methods and pseudocode for how to implement them (or just a description of their processes) that are commonly used in a Quadtree (retrieve, insert, remove, etc.) is what I'm looking for, along with maybe some tips to improve performance. This is for collision detection, so it'd be best to be explained with 2d rectangles in mind, as they are the objects that will be stored

Storing objects for locating by x,y coordinates

由 蹲街弑〆低调 提交于 2019-11-27 04:00:23
问题 I'm trying to determine a fast way of storing a set of objects, each of which have an x and y coordinate value, such that I can quickly retrieve all objects within a certain rectangle or circle. For small sets of objects (~100) the naive approach of simply storing them in a list, and iterating through it, is relatively quick. However, for much larger groups, that is expectedly slow. I've tried storing them in a pair of TreeMaps as well, one sorted on the x coordinate, and one sorted on the y

Quadtree for 2D collision detection

由 一世执手 提交于 2019-11-27 03:03:43
I'm trying to use a quadtree for 2D collision detection, but I'm a little stumped on how to implement it. First of all, I'd have a quadtree which contains four subtrees (one representing each quadrant), as well as a collection of objects which don't fit into a single subtree. When checking an object for collisions in the tree, I would do something like this (thanks to QuadTree for 2D collision detection ): Check the object for collisions with any objects in the current node. For any subtree whose space overlaps the object, recurse. To find all collisions within a quadtree tree: Check each

Are any of these quad-tree libraries any good?

由 ∥☆過路亽．° 提交于 2019-11-26 21:13:15
问题 It appears that a certain project of mine will require the use of quad-trees, something that I have never worked with before. From what I have read they should allow substantial performance enhancements than a brute-force attempt at the problem would yield. Are any of these python modules any good? Quadtree 0.1.2 <= No: unable to execute in Python 3.1 QuadTree <= Yes: simple while working with rectangles quadtree.py <= No: no support for needed operations EDIT 1: Does anyone know of a better

Efficient (and well explained) implementation of a Quadtree for 2D collision detection [closed]

由 血红的双手。 提交于 2019-11-26 11:52:52
问题 I\'ve been working on adding a Quadtree to a program that I\'m writing, and I can\'t help but notice that there are few well explained/performing tutorials for the implementation that I\'m looking for. Specifically, a list of the methods and pseudocode for how to implement them (or just a description of their processes) that are commonly used in a Quadtree (retrieve, insert, remove, etc.) is what I\'m looking for, along with maybe some tips to improve performance. This is for collision

Quadtree for 2D collision detection

由 两盒软妹~` 提交于 2019-11-26 09:17:52
问题 I\'m trying to use a quadtree for 2D collision detection, but I\'m a little stumped on how to implement it. First of all, I\'d have a quadtree which contains four subtrees (one representing each quadrant), as well as a collection of objects which don\'t fit into a single subtree. When checking an object for collisions in the tree, I would do something like this (thanks to QuadTree for 2D collision detection): Check the object for collisions with any objects in the current node. For any
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