triangle rasterizer using edge functions (barycenteric interpolation)

basic triangle rasterization using edge function computation
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Updated 22 Jul 2015

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test_render_triangles.m - to draw test lines. Calls render_triangles(..) to draw a set of triangles.
The drawing/rendering/rasterization process is:
1. triangle vertices (homogeneous co-ordinate system) are specified in north east down co-ordinate system. Refer test_render_triangles.m. Points are converted to opengl co-ordinate system before rasterization. (-Z forward axis).
2. view matrix, perspective matrix and viewport matrix are computed.
3. Points transformed to clip space. Clipping of triangle is implemented using suderland hodgman algorithm.
4. triangle rasterization is done using edge function based barycentric interpolation (optimized)
5. Prospectively correct texture interpolation
6. z buffering is implemented
7. Triangle line grid drawing using breshenham algorithm

(read from books or search internet before/while reading code: Search Topics: opengl graphics pipeline, perceptive matrix computation, clip space, liang barsky algorithm, perspective divide , opengl view port computation, edge functions and barycentric interpolation for triangle filling, bresenham algorithm for line drawing, quatenion to dcm/euler angles conversion, matrix manipulations like translation, rotation, scaling )

Cite As

Vipin Yadav (2024). triangle rasterizer using edge functions (barycenteric interpolation) (https://www.mathworks.com/matlabcentral/fileexchange/51711-triangle-rasterizer-using-edge-functions-barycenteric-interpolation), MATLAB Central File Exchange. Retrieved .

MATLAB Release Compatibility
Created with R2008b
Compatible with any release
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Version Published Release Notes
2.0.0.0

Version 2.0 uploaded.
1. Triangle clipping using suderland hodgman implemented.
2. Barycentric interpolation of texture and color parameters of clipped triangles implemented.

1.0.0.0