Documentation>C API
File List
Here is a list of all documented files with brief descriptions:
 aib.cAIB - Definition
 aib.hAIB (Agglomerative Information Bottleneck (AIB))
 covdet.cCovariant feature detectors - Definition
 covdet.hCovariant feature detectors (Covariant feature detectors)
 dsift.cDense SIFT - Definition
 dsift.hDense SIFT (Dense Scale Invariant Feature Transform (DSIFT))
 fisher.cFisher - Declaration
 fisher.hFisher encoding (Fisher Vector encoding (FV))
 generic.cGeneric - Definition
 generic.hGeneric (General support functionalities)
 getopt_long.cGetopt_long - Definition
 gmm.cGaussian Mixture Models - Implementation
 gmm.hGMM (Gaussian Mixture Models (GMM))
 heap-def.hHeap preprocessor metaprogram
 hikmeans.cHierarchical Integer K-Means Clustering - Declaration
 hikmeans.hHierarchical integer K-Means clustering
 hog.cHistogram of Oriented Gradients (HOG) - Definition
 hog.hHistogram of Oriented Gradients (Histogram of Oriented Gradients (HOG) features)
 homkermap.cHomogeneous kernel map - Definition
 homkermap.hHomogeneous kernel map (Homogeneous kernel map)
 host.cHost - Definition
 ikmeans.cInteger K-Means clustering - Definition
 ikmeans.hInteger K-Means clustering
 ikmeans_elkan.tcInteger K-Means - Elkan Algorithm - Definition
 ikmeans_init.tcInteger K-Means - Initialization - Definition
 ikmeans_lloyd.tcInteger K-Means - LLoyd Algorithm - Definition
 imopv.cVectorized image operations - Definition
 imopv.hVectorized image operations
 imopv_sse2.cVectorized image operations - SSE2 - Definition
 imopv_sse2.hVectorized image operations - SSE2
 kdtree.cKD-tree - Definition
 kdtree.hKD-tree (KD-trees and forests)
 kmeans.cK-means - Declaration
 kmeans.hK-means (K-means clustering)
 lbp.cLocal Binary Patterns (LBP) - Definition
 lbp.hLocal Binary Patterns (LBP) descriptor (Local Binary Patterns (LBP) descriptor)
 liop.cLocal Intensity Order Pattern (LIOP) descriptor - Definition
 liop.hLocal Intensity Order Pattern (LIOP) descriptor (Local Intensity Order Pattern (LIOP) descriptor)
 mathop.cMath operations - Definition
 mathop.hMath operations (Mathematical operations)
 mathop_avx.cMathop for AVX - Definition
 mathop_avx.hMathop for avx
 mathop_sse2.cMathop for SSE2 - Definition
 mathop_sse2.hMathop for sse2
 mexutils.hMEX utilities
 mser.cMSER - Definition
 mser.hMSER (Maximally Stable Extremal Regions (MSER))
 pgm.cPortable graymap format (PGM) parser - Definition
 pgm.hPortable graymap format (PGM) parser
 qsort-def.hQSort preprocessor metaprogram
 quickshift.cQuick shift - Definition
 quickshift.hQuick shift (Quick shift image segmentation)
 random.cRandom number generator - Definition
 random.hRandom number generator (Random number generator)
 rodrigues.cRodrigues formulas - Definition
 rodrigues.hRodrigues formulas
 scalespace.cScale Space - Definition
 scalespace.hScale Space (Gaussian Scale Space (GSS))
 shuffle-def.hShuffle preprocessor metaprogram
 sift.cSIFT - Definition
 sift.hSIFT (Scale Invariant Feature Transform (SIFT))
 slic.cSLIC superpixels - Definition
 slic.hSLIC superpixels (Simple Linear Iterative Clustering (SLIC))
 stringop.cString operations - Definition
 stringop.hString operations
 svm.cSupport Vector Machines (SVM) - Implementation
 svm.hSupport Vector Machines (Support Vector Machines (SVM))
 svmdataset.cSVM Dataset - Definition
 svmdataset.hSVM Dataset
 vlad.cVLAD - Declaration
 vlad.hVLAD encoding (Vector of Locally Aggregated Descriptors (VLAD) encoding)