Please wait, while we are loading the content...
Please wait, while we are loading the content...
| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Phuong-Trinh Pham-Ngoc Kang-Hyun Jo |
| Copyright Year | 2006 |
| Description | Author affiliation: Graduate Sch. of Electr. Eng., Ulsan Univ. (Phuong-Trinh Pham-Ngoc; Kang-Hyun Jo) |
| Abstract | This paper presents an improved face detection method for color images. We propose a boosted skin-color model in RGB space which can reduce more effectively noises forming from similar skin colors. With our solution, we receive more reasonable skin detection for different human races. We modifed local binary pattern (LBP) by adding a set of spatial templates. This LBP considers both principal local shapes and spatial textures of facial components. Human face is represented by LBP histogram. Moreover, the grayscale image of human face is changed to discrete cosine transform (DCT) coefficients used in embedded hidden Markov models (eHMMs). A modified LBP (mLBP) histogram matching and eHMMs are composed to hierarchical classifier to determine whether skin regions are faces or not. The experiments show that our method performs a better capability for face detection in complex environments than using separately eHMMs or LBP histogram. The correct face detection rate of proposed system is over 94% among our test database which consists totally 485 single and multi-face color images of 1429 persons in different lighting conditions, face rotations, occlusions and complex backgrounds from different sources: Caltech face database, Sumgmug image library, family photos, personal digital images and World Wide Web |
| Starting Page | 5598 |
| Ending Page | 5603 |
| File Size | 7607234 |
| Page Count | 6 |
| File Format | |
| ISBN | 8995003847 |
| DOI | 10.1109/SICE.2006.315784 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2006-10-18 |
| Publisher Place | South Korea |
| Access Restriction | Subscribed |
| Rights Holder | The Institute of Control, Automation and Systems |
| Subject Keyword | Face detection Hidden Markov models Skin Humans Histograms Color Colored noise Discrete cosine transforms Image databases Noise reduction embedded Hidden Markov Models skin segmentation Local Binary Patterns |
| Content Type | Text |
| Resource Type | Article |
National Digital Library of India (NDLI) is a virtual repository of learning resources which is not just a repository with search/browse facilities but provides a host of services for the learner community. It is sponsored and mentored by Ministry of Education, Government of India, through its National Mission on Education through Information and Communication Technology (NMEICT). Filtered and federated searching is employed to facilitate focused searching so that learners can find the right resource with least effort and in minimum time. NDLI provides user group-specific services such as Examination Preparatory for School and College students and job aspirants. Services for Researchers and general learners are also provided. NDLI is designed to hold content of any language and provides interface support for 10 most widely used Indian languages. It is built to provide support for all academic levels including researchers and life-long learners, all disciplines, all popular forms of access devices and differently-abled learners. It is designed to enable people to learn and prepare from best practices from all over the world and to facilitate researchers to perform inter-linked exploration from multiple sources. It is developed, operated and maintained from Indian Institute of Technology Kharagpur.
Learn more about this project from here.
NDLI is a conglomeration of freely available or institutionally contributed or donated or publisher managed contents. Almost all these contents are hosted and accessed from respective sources. The responsibility for authenticity, relevance, completeness, accuracy, reliability and suitability of these contents rests with the respective organization and NDLI has no responsibility or liability for these. Every effort is made to keep the NDLI portal up and running smoothly unless there are some unavoidable technical issues.
Ministry of Education, through its National Mission on Education through Information and Communication Technology (NMEICT), has sponsored and funded the National Digital Library of India (NDLI) project.
| Sl. | Authority | Responsibilities | Communication Details |
|---|---|---|---|
| 1 | Ministry of Education (GoI), Department of Higher Education |
Sanctioning Authority | https://www.education.gov.in/ict-initiatives |
| 2 | Indian Institute of Technology Kharagpur | Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project | https://www.iitkgp.ac.in |
| 3 | National Digital Library of India Office, Indian Institute of Technology Kharagpur | The administrative and infrastructural headquarters of the project | Dr. B. Sutradhar bsutra@ndl.gov.in |
| 4 | Project PI / Joint PI | Principal Investigator and Joint Principal Investigators of the project |
Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon |
| 5 | Website/Portal (Helpdesk) | Queries regarding NDLI and its services | support@ndl.gov.in |
| 6 | Contents and Copyright Issues | Queries related to content curation and copyright issues | content@ndl.gov.in |
| 7 | National Digital Library of India Club (NDLI Club) | Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach | clubsupport@ndl.gov.in |
| 8 | Digital Preservation Centre (DPC) | Assistance with digitizing and archiving copyright-free printed books | dpc@ndl.gov.in |
| 9 | IDR Setup or Support | Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops | idr@ndl.gov.in |
|
Loading...
|