XB PointStream

Welcome to CDOT The Seneca Centre for Development of Open Technology

C3DL Eclipse Fedora

Mozilla OpenOffice.org Processing.js

About CDOT Seneca’s Centre for Development of Open Technology (CDOT) provides a physical and virtual environment for the development and research of open source software through collaboration with Seneca, the open source community, business, and other institutions. The centre is an integration point for knowledge, education, and relationships within the open source world. The Centre's virtual presence starts here, and includes IRC and our blog planet. CDOT's physical space is located on the first floor of the TEL building. Learn more about CDOT · CDOT in the News Events Monthly Events: Raspberry Pi Toronto Meetup - 2nd Thursday of Each Month - 7:00 pm Past Events: See Special Events History

Current Blog Posts See more posts on Planet CDOT. You can add your own blog to the Planet List.

==What is a point cloud?==

The typical method used to represent 3D graphics for applications such as video games is that of a textured meshed. Essentially the object is made up of a mesh of flat triangles and a 2D texture graphic that is applied over the mesh to give it its colour and depth. However, this is not the only way to represent 3D graphics. Another method for representing 3D graphics is that of a point cloud which is a set of coloured points in 3D space. While a point cloud is usually larger than a textured mesh in terms of amount of data, it provides a level of realism not found in a mesh. Furthermore, some 3D scanning equipment such as 3D scanners, LiDAR equipment, medical scanners, and MicroSoft's Kinect all deliver their data as point clouds.

What is XB PointStream?

WebGL is now available for

In Development

Releases

XBPS 0.6

[xbps-min-0.6.js | src + example] | Everything]

Previous Versions
XBPS 0.5 [xbps-min-0.5.js | src + example]
XBPS 0.4.5 [Only Lib | Full]
XBPS 0.4
XBPS 0.3
XBPS 0.2
XBPS 0.1

XB PointStream Development Links

3D Image Gallery
Blogs
Specifications
LightHouse
Github
Twitter
YouTube Videos
Extending XBPS
Custom Parsers