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- Haar-like_features abstract "Haar-like features are digital image features used in object recognition. They owe their name to their intuitive similarity with Haar wavelets and were used in the first real-time face detector.Historically, working with only image intensities (i.e., the RGB pixel values at each and every pixel of image) made the task of feature calculation computationally expensive. A publication by Papageorgiou et al. discussed working with an alternate feature set based on Haar wavelets instead of the usual image intensities. Viola and Jones adapted the idea of using Haar wavelets and developed the so-called Haar-like features. A Haar-like feature considers adjacent rectangular regions at a specific location in a detection window, sums up the pixel intensities in each region and calculates the difference between these sums. This difference is then used to categorize subsections of an image.For example, let us say we have an image database with human faces. It is a common observation that among all faces the region of the eyes is darker than the region of the cheeks. Therefore a common haar feature for face detection is a set of two adjacent rectangles that lie above the eye and the cheek region. The position of these rectangles is defined relative to a detection window that acts like a bounding box to the target object (the face in this case).In the detection phase of the Viola–Jones object detection framework, a window of the target size is moved over the input image, and for each subsection of the image the Haar-like feature is calculated. This difference is then compared to a learned threshold that separates non-objects from objects. Because such a Haar-like feature is only a weak learner or classifier (its detection quality is slightly better than random guessing) a large number of Haar-like features are necessary to describe an object with sufficient accuracy. In the Viola–Jones object detection framework, the Haar-like features are therefore organized in something called a classifier cascade to form a strong learner or classifier.The key advantage of a Haar-like feature over most other features is its calculation speed. Due to the use of integral images, a Haar-like feature of any size can be calculated in constant time (approximately 60 microprocessor instructions for a 2-rectangle feature).".
- Haar-like_features thumbnail Prm_VJ_fig3_computeRectangleWithAlpha.png?width=300.
- Haar-like_features wikiPageID "11864935".
- Haar-like_features wikiPageLength "6113".
- Haar-like_features wikiPageOutDegree "19".
- Haar-like_features wikiPageRevisionID "672272673".
- Haar-like_features wikiPageWikiLink Analysis_of_algorithms.
- Haar-like_features wikiPageWikiLink Categorization.
- Haar-like_features wikiPageWikiLink Category:Bioinformatics.
- Haar-like_features wikiPageWikiLink Category:Feature_detection_(computer_vision).
- Haar-like_features wikiPageWikiLink Computationally_expensive.
- Haar-like_features wikiPageWikiLink Digital_image.
- Haar-like_features wikiPageWikiLink Dimension.
- Haar-like_features wikiPageWikiLink Dimensionality.
- Haar-like_features wikiPageWikiLink Face.
- Haar-like_features wikiPageWikiLink Feature_(computer_vision).
- Haar-like_features wikiPageWikiLink Haar_wavelet.
- Haar-like_features wikiPageWikiLink Integral_image.
- Haar-like_features wikiPageWikiLink Lookup_table.
- Haar-like_features wikiPageWikiLink Object_recognition.
- Haar-like_features wikiPageWikiLink Outline_of_object_recognition.
- Haar-like_features wikiPageWikiLink Pixel.
- Haar-like_features wikiPageWikiLink RGB.
- Haar-like_features wikiPageWikiLink RGB_color_model.
- Haar-like_features wikiPageWikiLink Round-off_error.
- Haar-like_features wikiPageWikiLink Rounding_error.
- Haar-like_features wikiPageWikiLink Summed_area_table.
- Haar-like_features wikiPageWikiLink Viola–Jones_object_detection_framework.
- Haar-like_features wikiPageWikiLink File:Prm_VJ_fig3_computeRectangleWithAlpha.png.
- Haar-like_features wikiPageWikiLinkText "2D Haar wavelet responses".
- Haar-like_features wikiPageWikiLinkText "Haar basis functions".
- Haar-like_features wikiPageWikiLinkText "Haar features".
- Haar-like_features wikiPageWikiLinkText "Haar wavelet".
- Haar-like_features wikiPageWikiLinkText "Haar-like features".
- Haar-like_features hasPhotoCollection Haar-like_features.
- Haar-like_features subject Category:Bioinformatics.
- Haar-like_features subject Category:Feature_detection_(computer_vision).
- Haar-like_features hypernym Features.
- Haar-like_features type Building.
- Haar-like_features type Biostatistic.
- Haar-like_features comment "Haar-like features are digital image features used in object recognition. They owe their name to their intuitive similarity with Haar wavelets and were used in the first real-time face detector.Historically, working with only image intensities (i.e., the RGB pixel values at each and every pixel of image) made the task of feature calculation computationally expensive. A publication by Papageorgiou et al.".
- Haar-like_features label "Haar-like features".
- Haar-like_features sameAs Caractéristiques_pseudo-Haar.
- Haar-like_features sameAs m.02rw21z.
- Haar-like_features sameAs Признаки_Хаара.
- Haar-like_features sameAs Q2493819.
- Haar-like_features sameAs Q2493819.
- Haar-like_features sameAs 哈尔特征.
- Haar-like_features wasDerivedFrom Haar-like_features?oldid=672272673.
- Haar-like_features depiction Prm_VJ_fig3_computeRectangleWithAlpha.png.
- Haar-like_features isPrimaryTopicOf Haar-like_features.