Blender is now a powerful suite of 3d content creation, where have a various characteristich as animation, composit, shade, model, texture, interactive ... And OpenCV is ga powerful realtime library for computer Vision.
Then my goal is provide a new and powerfull tool based on Blender for Computer Vision Tasks with OpenCV Library.
How?, with a particular characteristic of Blender, the compositor node.
Nodes are a good tool that provide a user interactive, each node is a box with inputs and outputs that implement a function. Each node have interactive parameters that user can be set.
Each node can be linked with others nodes linking outputs to inputs
In this page we can see more about node compositor
With this properties we can create a workflow of a computer vision tasks.
For example here are the basic edge detection with blenderocv, this example implement the basic opencv sample "edge.c"
[caption id="attachment_117" align="alignright" width="300" caption="Blenderocv - edge (canny)"][/caption]
Now there are a demo with some few functions.
I have to implement a lot of functions as nodes, and now there are a lot of work to do, and sure i make important decisions in development. If anybody want colaborate with this project, please send me mail (david at artresnet dot com) or send me a comment.
There are more info and progress about this project in http://code.google.com/p/blenderocv/
About David Millán Escrivá
David completed his studies in Universidad Politecnica de Valencia in IT with a Master's degree in artificial intelligence, computer graphics, and pattern recognition, focusing on pattern recognition and Computer Vision. David has more than 15 years of experience in IT, with more than ten years of experience in Computer Vision, computer graphics, and pattern recognition, working on different projects and start-ups, applying his knowledge of Computer Vision, optical character recognition, and augmented reality. Co-Author of two OpenCV books and reviewer of few more.