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descriptor_toolbox
  • Classification:Numerical Algorithm-Artificial Intelligence - matlab
  • Development Tool:matlab
  • Sise:339 KB
  • Upload time:2013/5/18 20:22:25
  • Uploader:bala2012
  • Download Statistics:
Description
CALCULATE SPIN IMAGE




File list:
descriptor_toolbox
.................\check_face_vertex.m
.................\compile_mex_files.m
.................\ComputeVertexNormal.cpp
.................\compute_mesh_weight.m
.................\compute_normal.m
.................\create_lookat_matrix.m
.................\create_mesh_sift_features.m
.................\create_mesh_spin_features.m
.................\dog.m
.................\find_candidates_example.m
.................\find_local_maxima.m
.................\find_local_maxima_tag.cpp
.................\getoptions.m
.................\models.mat
.................\renderpatch.cpp
.................\renderpatch_face.cpp
.................\renderpatch_fragment.cpp
.................\renderpatch_mesh.cpp
.................\renderpatch_renderimage.cpp
.................\renderpatch_scene.cpp
.................\renderpatch_shading.cpp
.................\renderpatch_texture.cpp
.................\renderpatch_transformation.cpp
.................\renderpatch_vertice.cpp
.................\SiftFeatures.m
.................\SpinImages.cpp
.................\triangulation2adjacency.m
license.txt
Related source code
[gistdescriptor] - This code contain the gist descriptor in matlab
[FourierDescribe] - Achieved a Fourier descriptor contour boundary feature extraction algorithm simple, but practical!
[fourier_descriptor] - Fourier descriptors and also reconstructs them
[MultiscaleFourierdescriptor] - Fourier descriptor is one of the important methods of the analysis and recognition of object shapes. Using continuous Fourier transform based on polygon approximation of the curve method for calculating the Fourier descriptor, and through the shape of the main method of boundary starting point the elimination phase, defining a new spin, Pan and scale invariance of normalized Fourier descriptors. With the use of the discrete Fourier transform and normalized model compared to conventional Fourier descriptor, the new normalized Fourier descriptors at the same time preserves the modulus and phase characteristics, thus better able to identify the shapes of the objects. Experiments have shown that the new normalized Fourier descriptor than conventional Fourier
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