Difference between revisions of "Dynamic Real-Time Meshing of Point Clouds"

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(New page: ==Spring 2011 Tasks== Work done Spring 2011 *work item 1 Goals for end of Spring 2011 *goal 1)
 
(Spring 2011 Tasks)
Line 2: Line 2:
  
 
Work done Spring 2011
 
Work done Spring 2011
*work item 1
+
*Compiled and ran CUDA Marching Cubes example from SDK
 +
*Modified the existing code to handle our own custom dataset
 +
*Successful in dividing a dataset into 8 parts, running the meshing algorithm
 +
on each part separately and connecting them together.
 +
*Created an interface for the user to input data
  
 
Goals for end of Spring 2011
 
Goals for end of Spring 2011
*goal 1
+
*Modify algorithm to compress the VBO to manageable size
 +
*Add support for interpolation of extra input voxel data (colors, normals, texture coordinates) on mesh vertices
 +
*Add support for normals input, interpolate normals on the voxel cube to obtain vertex normals,
 +
and delete triangles facing away from the input normals
 +
*Add support for texture coordinates and texture data
 +
*Use a shader program to lookup texture array and blend between textures based on pre-computed weights

Revision as of 21:01, 21 April 2011

Spring 2011 Tasks

Work done Spring 2011

  • Compiled and ran CUDA Marching Cubes example from SDK
  • Modified the existing code to handle our own custom dataset
  • Successful in dividing a dataset into 8 parts, running the meshing algorithm

on each part separately and connecting them together.

  • Created an interface for the user to input data

Goals for end of Spring 2011

  • Modify algorithm to compress the VBO to manageable size
  • Add support for interpolation of extra input voxel data (colors, normals, texture coordinates) on mesh vertices
  • Add support for normals input, interpolate normals on the voxel cube to obtain vertex normals,

and delete triangles facing away from the input normals

  • Add support for texture coordinates and texture data
  • Use a shader program to lookup texture array and blend between textures based on pre-computed weights