Automatic Human Joint Detection Using Microsoft Kinect
This article proposes an extension of Haar-like features for their use in rapid object detection systems. These features differ from the traditional ones in that their rectangles are assigned optimal weights so as to maximize their ability to discriminate objects from clutter (non-objects).... Towards Enhancing the Face Detectors Based on Measuring the Effectiveness of Haar Features and Threshold Methods . Nidal F. Shilbayeh*, Khadija M. Al-Noori**, Asim Alshiekh*
IEEE SIGNAL PROCESSING LETTERS VOL. 23 NO. 10 OCTOBER
Learning Sparse Features in Granular Space for Multi-View Face Detection Chang HUANG 1, Haizhou AI , Yuan LI1and Shihong LAO2 1 Computer Science and Technology Department, Tsinghua University, Beijing 100084, China... The haar-like algorithm is also used for feature selection or feature extraction for an object in an image, with the help of edge detection, line detection, centre detection for detecting eyes, nose, mouth, etc. in the picture. It is used to select the essential features in an image and extract these features for face detection.
(PDF) Joint Haar-like features for face detection
Combining the cascade structure and Haar-like features, Adaboost based face detector performs well the detection task in terms of speed and precision which make it suitable for real world applications (Viola and Jones 2001).... Abstract: In this paper, we propose a new distinctive feature, called joint Haar-like feature, for detecting faces in images. This is based on co-occurrence of multiple Haar-like features. Feature co-occurrence, which captures the structural similarities within the face class, makes it possible to
Face Detection using LBP features Tran Viet Academia.edu
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.... 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.
Joint Haar-like Features For Face Detection Pdf
Face detection system CORE
- A survey on face detection in the wild Past present and
- Comparison of HOG (Histogram of Oriented Gradients) and
- CiteSeerX â€” Joint haar-like features for face detection
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Joint Haar-like Features For Face Detection Pdf
Exploring Compression Impact on Face Detection Using Haar-like Features 57 which is needed to identify the content of the quality layers into the code stream. The auxiliary data is stored in the packet header of the code blocks.
- AdaBoost is a training process for face detection, which selects only those features known to improve the classification (face/non-face) accuracy of our classifier. In the end, the algorithm considers the fact that generally: most of the region in an image is a non-face region.
- Haar-like features entirely, Ojala et al.  proposed using the features of the local binary patterns (LBP) to detect faces, which have also been successfully applied to the problem of face recognition.
- Face detection is a fundamental and essential task in various face applications. The breakthrough work by Viola-Jones  utilizes AdaBoost algorithm with Haar-Like features to train a cascade of face vs. non-face classi ers.
- Abstract. We present a new state-of-the-art approach for face detection. The key idea is to combine face alignment with detection, observing that aligned face shapes provide better features for face â€¦
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