Haar-like features are very useful image features used in object detection. They were introduced in the very first real-time face detector by Viola and Jones. Using integral images, Haar-like features of any size (scale) can be efficiently computed in constant time. The computation speed is the key advantage of a Haar-like feature over most other features. Using the Viola-Jones face detection algorithm, faces can be detected in an image using these Haar-like features. Each Haar-like feature acts as just a weak classifier, and hence a huge number of these features are required to detect a face with good accuracy. Therefore, a large number of features are computed for all possible locations and sizes of each Haar-like kernel, using the integral images. Then, an AdaBoost ensemble classifier is used to select important features from...
United States
Great Britain
India
Germany
France
Canada
Russia
Spain
Brazil
Australia
Singapore
Hungary
Philippines
Mexico
Thailand
Ukraine
Luxembourg
Estonia
Lithuania
Norway
Chile
South Korea
Ecuador
Colombia
Taiwan
Switzerland
Indonesia
Cyprus
Denmark
Finland
Poland
Malta
Czechia
New Zealand
Austria
Turkey
Sweden
Italy
Egypt
Belgium
Portugal
Slovenia
Ireland
Romania
Greece
Argentina
Malaysia
South Africa
Netherlands
Bulgaria
Latvia
Japan
Slovakia