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xRobert Richmond

Light Field Mapping

September 2001

Page Four

Contents
Page One: Applications of Light Field Mapping
Synthetic Imaging
Real-World Imaging
Technical Analysis
Page Four: Triangle Centered Approximation
Triangle-Centered Light Field Mapping
Analysis of Triangle-Centered Approximation
Page Two: Data Acquisition
Resampling and Normalization
Page Five: Vertex-Centered Approximation
Vertex-Centered Light Field Mapping
Analysis of Vertex-Centered Approximation
Page Three: Surface Light Field Approximation Page Six: Hardware Acceleration
Light Field Map Compression
Final Thoughts

Triangle Centered Approximation


One technique of approximation involves the usage of multiple triangles across the surface light field by defining a local reference frame for each partitioned triangular rendering area.



A formula can now be constructed to represent the light map ranges for both within and outside the specific control area.



Each triangular area is then decomposed independently so compression through truncation can be performed by the root mean square approximation of each light field.


Triangle-Centered Light Field Mapping




Triangle-centered rendering produces the actual visual object by computing the local reference frame of each triangle using the pixel-per-pixel multiplication of both the surface and view map images.  The surface map data is static, while the view map data is dynamic according to the viewing direction.


Analysis of Triangle-Centered Approximation



Triangle-centered approximation has the advantage of being a relatively simple mathematical process, thus performance impact is kept within minimal boundaries.  However, this process does limit rendering accuracy, especially near the triangular edge layer boundaries.  Slight edge imperfections and discontinuities can be observed with the above image beyond the normal imaging issues present with JPEG compression.

 

Page Five . . .

   

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