Related Pages

Here is a list of all related documentation pages:

[detail level 12]

Agglomerative Information Bottleneck (AIB)
▼Covariant feature detectors
Covariant detectors fundamentals
Principles of covariant detection
Differential and integral image operations
Cornerness measures
Affine adaptation
Dominant orientation
▼Fisher Vector encoding (FV)
Fisher vector fundamentals
Fisher vector derivation
Fisher kernel
Conventions
Objects
MATLAB integration
Preprocessor metaprogramming
Glossary
Developing the library
▼General support functionalities
Memory and resource handling
Threading
Preprocssor, library state, etc.
▼Gaussian Mixture Models (GMM)
GMM fundamentals
Histogram of Oriented Gradients (HOG) features
Homogeneous kernel map
Portability features
KD-trees and forests
▼K-means clustering
K-means fundamentals
▼Local Binary Patterns (LBP) descriptor
Local Binary Patterns fundamentals
▼Local Intensity Order Pattern (LIOP) descriptor
LIOP fundamentals
▼Mathematical operations
Fast integer square root algorithm
▼Maximally Stable Extremal Regions (MSER)
MSER fundamentals
Quick shift image segmentation
Random number generator
▼Gaussian Scale Space (GSS)
Gaussian scale space fundamentals
Simple Linear Iterative Clustering (SLIC)
▼Support Vector Machines (SVM)
SVM fundamentals
Advanced SVM topics
Stochastic Gradient Descent
Stochastic Dual Coordinate Ascent
▼Vector of Locally Aggregated Descriptors (VLAD) encoding
VLAD fundamentals
Todo List
Deprecated List
Bug List
Bibliography