Result Details
Framework for research on detection classifiers
Created: 2008
Type
software
Language
English
Authors
Description
Framework for creating and testing of classifiers for detection of objects in images. An web interface is provided for entry-level users. The detection classifiers can be created by WaldBoost algorithm, AdaBoost, ... The classifiers can use various features in their weak classifiers. The possible features include Haar-like features, Local Binary Patterns, Local Rank Patterns, Local Rank Differences, PCA, LDA, localized PCA/LDA etc.
Keywords
AdaBoost, WaldBoost, Classification, Detection, Face Detection
URL
License
Use of the result by another entity is possible without acquiring a license in some cases
License Fee
The licensor requires a license fee for the result
Projects
Algorithms of image recognition, GACR, Standardní projekty, GA201/06/1821, start: 2006-01-01, end: 2008-12-31, completed
Centre of computer graphics, MŠMT, Centra základního výzkumu, LC06008, start: 2006-03-01, end: 2011-12-31, completed
Security-Oriented Research in Information Technology, MŠMT, Institucionální prostředky SR ČR (např. VZ, VC), MSM0021630528, start: 2007-01-01, end: 2013-12-31, running
Centre of computer graphics, MŠMT, Centra základního výzkumu, LC06008, start: 2006-03-01, end: 2011-12-31, completed
Security-Oriented Research in Information Technology, MŠMT, Institucionální prostředky SR ČR (např. VZ, VC), MSM0021630528, start: 2007-01-01, end: 2013-12-31, running
Research groups
Computer Graphics Research Group (RG GRAPH)
Departments