Scale-invariant feature transform projects and source code

Hog Matlab Code

Histogram of Oriented Gradients (HOG) are feature descriptors used in computer vision and image processing for the purpose of object detection. The technique counts occurrences of gradient orientation in localized portions of an image. This method is similar to that of edge orientation histograms, scale-invariant feature transform descriptors, and shape contexts, but differs in that it is computed on a dense grid of uniformly spaced cells and uses overlapping local contrast normalization for improved accuracy.

Lbp Matlab Code

Histogram of Oriented Gradients (HOG) are feature descriptors used in computer vision and image processing for the purpose of object detection. The technique counts occurrences of gradient orientation in localized portions of an image. This method is similar to that of edge orientation histograms, scale-invariant feature transform descriptors, and shape contexts, but differs in that it is computed on a dense grid of uniformly spaced cells and uses overlapping local contrast normalization for improved accuracy.

Local depth sift and scale invariant spin image local features for 3d meshes in matlab

The following Matlab project contains the source code and Matlab examples used for local depth sift and scale invariant spin image local features for 3d meshes. descriptor matlab toolbox - a toolbox containing my work on local features for meshes: MeshScaleDoG local features detector, the Scale Invariant Spin Image descriptor and the Local Depth SIFT descriptor.
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