VLFeat - Documentation > C API

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File List
Here is a list of all documented files with brief descriptions:

aib.c | AIB - Definition
aib.h | AIB (Agglomerative Information Bottleneck (AIB))
array.h | Array
covdet.c | Covariant feature detectors - Definition
covdet.h | Covariant feature detectors (Covariant feature detectors)
dsift.c | Dense SIFT - Definition
dsift.h | Dense SIFT (Dense Scale Invariant Feature Transform (DSIFT))
fisher.c | Fisher - Declaration
fisher.h | Fisher encoding (Fisher Vector encoding (FV))
generic.c | Generic - Definition
generic.h | Generic (General support functionalities)
getopt_long.c | Getopt_long - Definition
getopt_long.h | Getopt_long
gmm.c | Gaussian Mixture Models - Implementation
gmm.h | GMM (Gaussian Mixture Models (GMM))
heap-def.h | Heap preprocessor metaprogram
hikmeans.c | Hierarchical Integer K-Means Clustering - Declaration
hikmeans.h | Hierarchical integer K-Means clustering
hog.c | Histogram of Oriented Gradients (HOG) - Definition
hog.h | Histogram of Oriented Gradients (Histogram of Oriented Gradients (HOG) features)
homkermap.c | Homogeneous kernel map - Definition
homkermap.h | Homogeneous kernel map (Homogeneous kernel map)
host.c | Host - Definition
host.h | Host
ikmeans.c | Integer K-Means clustering - Definition
ikmeans.h | Integer K-Means clustering
ikmeans_elkan.tc | Integer K-Means - Elkan Algorithm - Definition
ikmeans_init.tc | Integer K-Means - Initialization - Definition
ikmeans_lloyd.tc | Integer K-Means - LLoyd Algorithm - Definition
imopv.c | Vectorized image operations - Definition
imopv.h | Vectorized image operations
imopv_sse2.c | Vectorized image operations - SSE2 - Definition
imopv_sse2.h | Vectorized image operations - SSE2
kdtree.c | KD-tree - Definition
kdtree.h | KD-tree (KD-trees and forests)
kmeans.c | K-means - Declaration
kmeans.h | K-means (K-means clustering)
lbp.c | Local Binary Patterns (LBP) - Definition
lbp.h | Local Binary Patterns (LBP) descriptor (Local Binary Patterns (LBP) descriptor)
liop.c | Local Intensity Order Pattern (LIOP) descriptor - Definition
liop.h | Local Intensity Order Pattern (LIOP) descriptor (Local Intensity Order Pattern (LIOP) descriptor)
mathop.c | Math operations - Definition
mathop.h | Math operations (Mathematical operations)
mathop_avx.c | Mathop for AVX - Definition
mathop_avx.h | Mathop for avx
mathop_sse2.c | Mathop for SSE2 - Definition
mathop_sse2.h | Mathop for sse2
mexutils.h | MEX utilities
mser.c | MSER - Definition
mser.h | MSER (Maximally Stable Extremal Regions (MSER))
pgm.c | Portable graymap format (PGM) parser - Definition
pgm.h | Portable graymap format (PGM) parser
qsort-def.h | QSort preprocessor metaprogram
quickshift.c | Quick shift - Definition
quickshift.h | Quick shift (Quick shift image segmentation)
random.c | Random number generator - Definition
random.h | Random number generator (Random number generator)
rodrigues.c | Rodrigues formulas - Definition
rodrigues.h | Rodrigues formulas
scalespace.c | Scale Space - Definition
scalespace.h | Scale Space (Gaussian Scale Space (GSS))
shuffle-def.h | Shuffle preprocessor metaprogram
sift.c | SIFT - Definition
sift.h | SIFT (Scale Invariant Feature Transform (SIFT))
slic.c | SLIC superpixels - Definition
slic.h | SLIC superpixels (Simple Linear Iterative Clustering (SLIC))
stringop.c | String operations - Definition
stringop.h | String operations
svm.c | Support Vector Machines (SVM) - Implementation
svm.h | Support Vector Machines (Support Vector Machines (SVM))
svmdataset.c | SVM Dataset - Definition
svmdataset.h | SVM Dataset
vlad.c | VLAD - Declaration
vlad.h | VLAD encoding (Vector of Locally Aggregated Descriptors (VLAD) encoding)