<?xml version="1.0" encoding="UTF-8"?>
<feed xmlns="http://www.w3.org/2005/Atom" xml:lang="en-gb">
	<link rel="self" type="application/atom+xml" href="https://pybullet.org/Bullet/phpBB3/app.php/feed/topic/206" />

	<title>Real-Time Physics Simulation Forum</title>
	
	<link href="https://pybullet.org/Bullet/phpBB3/index.php" />
	<updated>2006-01-04T12:11:01+00:00</updated>

	<author><name><![CDATA[Real-Time Physics Simulation Forum]]></name></author>
	<id>https://pybullet.org/Bullet/phpBB3/app.php/feed/topic/206</id>

		<entry>
		<author><name><![CDATA[dcoming]]></name></author>
		<updated>2006-01-04T12:11:01+00:00</updated>

		<published>2006-01-04T12:11:01+00:00</published>
		<id>https://pybullet.org/Bullet/phpBB3/viewtopic.php?p=580#p580</id>
		<link href="https://pybullet.org/Bullet/phpBB3/viewtopic.php?p=580#p580"/>
		<title type="html"><![CDATA[Re: spherical / cylindrical heightfields and collision detec]]></title>

		
		<content type="html" xml:base="https://pybullet.org/Bullet/phpBB3/viewtopic.php?p=580#p580"><![CDATA[
<blockquote class="uncited"><div>However you can extend this idea for convex-convex collision detection/penetration depth using cylindrical or spherical heightfields. </div></blockquote>Do you mean using cylindrical/spherical coordinates instead of cartesian? How would this help?<br><br>Otherwise:<br>A heightfield maps distances from a 2D plane (perhaps usually a fixed floor, but could be arbitrary). Spherical and cylindrical heightfields map distances from a point or line-segment, respectively. Support for multiple types seems useful, but I would personally hesitate to call them extended cases of heightfields from planes. The heightfield extensions I have seen before do include signed distance fields from each triangle of a tri-mesh. Also signed distance fields from point-sets are used to define some point-set surfaces.<p>Statistics: Posted by <a href="https://pybullet.org/Bullet/phpBB3/memberlist.php?mode=viewprofile&amp;u=268">dcoming</a> — Wed Jan 04, 2006 12:11 pm</p><hr />
]]></content>
	</entry>
		<entry>
		<author><name><![CDATA[flab]]></name></author>
		<updated>2006-01-03T23:35:44+00:00</updated>

		<published>2006-01-03T23:35:44+00:00</published>
		<id>https://pybullet.org/Bullet/phpBB3/viewtopic.php?p=576#p576</id>
		<link href="https://pybullet.org/Bullet/phpBB3/viewtopic.php?p=576#p576"/>
		<title type="html"><![CDATA[spherical / cylindrical heightfields and collision detection]]></title>

		
		<content type="html" xml:base="https://pybullet.org/Bullet/phpBB3/viewtopic.php?p=576#p576"><![CDATA[
I don't have any real experience or links to paper on this, but as far as anything goes, a simple thing which could possibly be semi-useful could be to have a cube heightmapped, perhaps projected to fit a sphere or something like that. It should seemingly support convex (semi-concave?) objects without too much trouble?<p>Statistics: Posted by <a href="https://pybullet.org/Bullet/phpBB3/memberlist.php?mode=viewprofile&amp;u=388">flab</a> — Tue Jan 03, 2006 11:35 pm</p><hr />
]]></content>
	</entry>
		<entry>
		<author><name><![CDATA[Erwin Coumans]]></name></author>
		<updated>2006-01-03T20:28:53+00:00</updated>

		<published>2006-01-03T20:28:53+00:00</published>
		<id>https://pybullet.org/Bullet/phpBB3/viewtopic.php?p=573#p573</id>
		<link href="https://pybullet.org/Bullet/phpBB3/viewtopic.php?p=573#p573"/>
		<title type="html"><![CDATA[spherical / cylindrical heightfields and collision detection]]></title>

		
		<content type="html" xml:base="https://pybullet.org/Bullet/phpBB3/viewtopic.php?p=573#p573"><![CDATA[
Static planar heightfields are fairly popular in collision detection.<br>However you can extend this idea for convex-convex collision detection/penetration depth using cylindrical or spherical heightfields. <br><br>Kind of the 2D version of signed distance maps. Signed distance maps require 2 representations, a 3D map and features (vertices,edges etc).<br><br>One vaguely related link I could find is this one: <a href="http://gamma.cs.unc.edu/HTextures/OtaduyJainSudLinVIS04.pdf" class="postlink">http://gamma.cs.unc.edu/HTextures/Otadu ... nVIS04.pdf</a><br><br>Does anyone have experience, papers or anything in this area?<p>Statistics: Posted by <a href="https://pybullet.org/Bullet/phpBB3/memberlist.php?mode=viewprofile&amp;u=2">Erwin Coumans</a> — Tue Jan 03, 2006 8:28 pm</p><hr />
]]></content>
	</entry>
	</feed>
