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Applying Two-Pixel Features to Face Detection

Ido Nissenboim, Daniel Keren, Michael Werman
2008 2008 IEEE International Conference on Signal Image Technology and Internet Based Systems  
We propose a "quick rejection" paradigm which is applied to face detection.  ...  The resulting features are easy to find, extremely fast to apply, and achieve a good detection rate.  ...  Next we define the features and explain how they are derived and used. We shall hereafter speak of face detection, but the method can be applied to other image classes as well.  ... 
doi:10.1109/sitis.2008.28 dblp:conf/sitis/NissenboimKW08 fatcat:u6wz4shap5fehehukw566cqati

Face detection and facial feature localization without considering the appearance of image context

S. Phimoltares, C. Lursinsap, K. Chamnongthai
2007 Image and Vision Computing  
Efficient face and facial feature detection algorithms are required for applying to those tasks.  ...  Face and facial feature detection plays an important role in various applications such as human computer interaction, video surveillance, face tracking, and face recognition.  ...  all pixels. (6) Apply thinning method to dilated face boundary. (7) Consider two pixels at the 64th row.  ... 
doi:10.1016/j.imavis.2006.05.017 fatcat:lmkx3t6c6rhbnmq24fengdexum

Efficient Modified Normalized Pixel Difference Face Detection Algorithm

Dr. M. Sharmila Kumari
2017 International Journal for Research in Applied Science and Engineering Technology  
The characteristics trait can be broadly classified in to two categories i.e. physiological and behavioral. Measurement of physical features for personal identification is an age old practice.  ...  Face detection is also a part of object detection [16] . Outcome of face detection can be classified into two classes face and non-face. Most applications are based on face recognition and tracking.  ...  VNPD feature measures the relative difference between two pixel values.  ... 
doi:10.22214/ijraset.2017.10152 fatcat:qp2mdgglmfhqpdupy5xzkqvtma

Efficient face detection method with eye region judgment

Chun-Fu Lin, Sheng-Fuu Lin
2013 EURASIP Journal on Image and Video Processing  
Real-time face detection technology can be applied in many industrial or commercial products.  ...  Many studies have attempted to reduce the training time and retain the high detection rate of the traditional Adaboost face detection system.  ...  Guo et al. presented a two-stage hybrid face detection system composed of the probability-based face mask pre-filtering (PFMPF) and the pixel-based hierarchical feature Adaboosting (PBHFA) to reduce the  ... 
doi:10.1186/1687-5281-2013-34 fatcat:7lgysqswivgi5kj2omdqzkx3hi

Automatic local Gabor Features extraction for face recognition [article]

Yousra Ben Jemaa, Sana Khanfir
2009 arXiv   pre-print
A new algorithm is proposed in order to detect automatically face features (eyes, mouth and nose) and extract their correspondent geometrical points.  ...  We compare the two types of features used for recognition: geometric distances and Gabor coefficients which can be used either independently or jointly.  ...  We use the two techniques; we first locate the feature points and then apply Gabor filters in each point in order to extract a set of Gabor wavelet coefficients.  ... 
arXiv:0907.4984v1 fatcat:cmxhb74zb5etlfx32onjd66akq

Comparison of two different approaches for multiple face detection in color images
IJIREEICE - Electrical, Electronics, Instrumentation and Control

NEETU SAINI, HARI SINGH
2015 IJIREEICE  
In this paper, the performance comparison has been made of two different algorithms for multiple face detection in color images.  ...  Human face detection has become a major field of interest in current research because there is no deterministic algorithm to find multiple faces in a given image.  ...  In second phase skin color pixel detection is used to extract all the entire skin color pixels from the image. Once they are extracted Viola Jones is applied to detect face.  ... 
doi:10.17148/ijireeice.2015.3107 fatcat:dn3oz44dzffsbigz73yqgllwou

A Novel Approach to Face Detection and Feature Extraction using Image Processing

Sunny Shah
2017 International Journal for Research in Applied Science and Engineering Technology  
This paper describes a human face detection and feature extraction based on skin color segmentation and geometry of face. The system consists of several stages.  ...  Features are extracted using the size and the relative position. If system fails to find any of single feature in possible face block, it rejects face block.  ...  Here we have combined RGB, Normalized RGB, and HSV color spaces to detect ski pixels.  ... 
doi:10.22214/ijraset.2017.4239 fatcat:eple6rulpngw5o5hg3oylwxlbq

Enhanced weakly trained frontal face detector for surveillance purposes

Wael Louis, K. N. Plataniotis, Yong Man Ro
2010 International Conference on Fuzzy Systems  
This paper claims that only a subset of the total number of features conserves the major power to detect faces; hence, this subset is capable to detect faces with high detection rate.  ...  A pre-processing stage of skin-tone detection is applied to reduce the false positive rate. The detector is examined on real-life lowresolution surveillance sequence.  ...  These features proved the capability to extract face discriminative features; however, the number of features is limited to the number of pixels, so two classification schemes were required.  ... 
doi:10.1109/fuzzy.2010.5584450 dblp:conf/fuzzIEEE/LouisPR10 fatcat:vo7hxc6ovbhs5fd7k2ophitw7q

Face Detection in Color Images Using Primitive Shape Features [chapter]

Murad Al Haj, Ariel Amato, Xavi Roca, Jordi Gonzàlez
2007 Advances in Soft Computing  
Primitive shape features are then used to decide which of the candidate regions actually correspond to a face.  ...  Skin color segmentation and edge detection are employed to separate all non-face regions from the candidate faces.  ...  Ramon Baldrich for providing valuable assistance to this report.  ... 
doi:10.1007/978-3-540-75175-5_23 dblp:series/asc/HajARG08 fatcat:l2thyidnwzhhddib6zovaoslli

Efficient Face Detection Method using Modified Hausdorff Distance Method with C4.5 Classifier and Canny Edge Detection

Neelima Singh, Satish Pawar, Yogendra Kumar
2015 International Journal of Computer Applications  
After that skin color model has been applied to detect the skin region which is followed by canny edge detection to detect the edges of skin region.  ...  In the last step, we use the Modified Hausdorff Distance Method which matches the pixel values and detects the faces with lower false negative rate.  ...  Face detection method has been classified into two: (i) Modelbased approach and (ii) Feature-based approach. According to first approach, a face is assumed to be a single unit.  ... 
doi:10.5120/ijca2015905553 fatcat:kqo4x6lwlvfbhmvvkdpjtmtfxy

Multiple Human Face Detection and Recognition based on LBPH and Machine Learning

Pranjul Kumar, Vashishtha Narayan, Divyanshu chauhan, Astha Singh
2021 International Journal of Innovative Research in Applied Sciences and Engineering  
Then, the feature extraction procedure is applied to the normalized segmented facial portion of an image which is done by local binary patterns histogram algorithm (LBPH).  ...  The face recognition is acquired through such extracted features using the AdaBoost algorithm.  ...  This paper contains some main things- Detect the faceApplying pixel normalization  Features extraction  Face recognition A.  ... 
doi:10.29027/ijirase.v4.i7.2021.817-822 fatcat:a6sqkkdi7jexdfyvb3ispadtkq

Face Detection in Color Images using Skin Segmentation

Mohammadreza Hajiarbabi, Arvin Agah
2014 Journal of Automation, Mobile Robotics & Intelligent Systems  
In order to detect faces in color images, skin detection can be applied to the image.  ...  Face detection which is a challenging problem in computer vision, can be used as a major step in face recognition.  ...  In two-rectangle feature, the value is the subtraction between the sums of the pixels within two regions.  ... 
doi:10.14313/jamris_3-2014/26 fatcat:hyeqa7rtane65av3ml5fdi4t3a

Hybrid Face Detection System using Combination of Viola - Jones Method and Skin Detection

Amr ElMaghraby, Mahmoud Abdalla, Othman Enany, Mohamed Y. El Nahas
2013 International Journal of Computer Applications  
In this paper, a fast, reliable automatic human face and facial feature detection is one of the initial and most important steps of face analysis and face recognition systems for the purpose of localizing  ...  This paper presents a Crossed Face Detection Method that instantly detects low resolution faces in still images or video frames.  ...  Appreciation and gratitude to International Journal of Computer Applications Staff and research paper Referees.  ... 
doi:10.5120/12361-8681 fatcat:rlu55tfft5dkri37iusch2ynqe

A Face Identification Method of Non-native Animals for Intelligent Trap

Mayumi Kouda, Masakazu Morimoto, Kensaku Fujii
2011 IAPR International Workshop on Machine Vision Applications  
So, after detecting raccoon face candidates, we distinguish them by several features and SVM.  ...  Here, we set raccoon as target non-native animal, and detect its face region by using HOG features.  ...  We also apply some feature selection before discrimination step. Pixel value: The simplest input vector is using pixel value. We normalize pixel value, as shown in Eq. 1.  ... 
dblp:conf/mva/KoudaMF11 fatcat:756xqjgooras5koitkp5k4qs2u

Thermal super-pixels for bimodal stress recognition

Ramin Irani, Kamal Nasrollahi, Abhinav Dhall, Thomas B. Moeslund, Tom Gedeon
2016 2016 Sixth International Conference on Image Processing Theory, Tools and Applications (IPTA)  
To the best of our knowledge, the only work on fusion of these two modalities for stress recognition is [3] which uses a feature level fusion of the two modalities.  ...  The features in [3] are extracted directly from pixel values.  ...  and reducing the error of the face detection algorithm, when it fails to detect faces.  ... 
doi:10.1109/ipta.2016.7821002 dblp:conf/ipta/IraniNDMG16 fatcat:agbtyeoq5jgctay3s63dbma3su
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