1. Identity statement | |
Reference Type | Conference Paper (Conference Proceedings) |
Site | sibgrapi.sid.inpe.br |
Holder Code | ibi 8JMKD3MGPEW34M/46T9EHH |
Identifier | 8JMKD3MGPBW34M/3JT78H2 |
Repository | sid.inpe.br/sibgrapi/2015/07.23.04.57 |
Last Update | 2015:07.23.04.57.25 (UTC) administrator |
Metadata Repository | sid.inpe.br/sibgrapi/2015/07.23.04.57.25 |
Metadata Last Update | 2022:05.18.22.21.00 (UTC) administrator |
Citation Key | RameshGopaChat:2015:EySeCh |
Title | Eyebrow segmentation and characterization using energy estimation and K-Means clustering  |
Format | On-line |
Year | 2015 |
Access Date | 2025, Feb. 09 |
Number of Files | 1 |
Size | 945 KiB |
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2. Context | |
Author | 1 Ramesh, Aditya 2 Gopalakrishnan, Anand 3 Chaturvedi, Ashvini |
Affiliation | 1 National Institute of Technology Karnataka, Surathkal, India 2 National Institute of Technology Karnataka, Surathkal, India 3 National Institute of Technology Karnataka, Surathkal, India |
Editor | Vieira, Thales Miranda de Almeida Mello, Vinicius Moreira |
e-Mail Address | aditya_2806@hotmail.com |
Conference Name | Conference on Graphics, Patterns and Images, 28 (SIBGRAPI) |
Conference Location | Salvador, BA, Brazil |
Date | 26-29 Aug. 2015 |
Publisher | Sociedade Brasileira de Computação |
Publisher City | Porto Alegre |
Book Title | Proceedings |
Tertiary Type | Undergraduate Work |
History (UTC) | 2015-07-23 04:57:25 :: aditya_2806@hotmail.com -> administrator :: 2022-05-18 22:21:00 :: administrator -> :: 2015 |
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3. Content and structure | |
Is the master or a copy? | is the master |
Content Stage | completed |
Transferable | 1 |
Keywords | eyebrow parameters segmentation K-means biometric facial expression |
Abstract | The eyebrow is an important feature point in a facial image. The data from a segmented eyebrow can be used as a cue for gender determination, mood analysis, facial expression recognition, non-verbal communication and biometric purposes. In this paper, we present a novel method to segment the eyebrow and characterize the state of the eyebrow based on the evaluation of a few key parameters such as thickness and archness of the eyebrow and distance of the eyebrow from the eye. Our technique involves obtaining a box containing the eye and eye brow region using Viola-Jones algorithm. We then segment out the skin region in this box by using the fact that the skin is abundant in its red component as compared to the eye and eyebrows. Further, we perform energy based thresholding to detect the darker regions in this box and then perform K-means clustering to obtain the best possible segmentation for the eyebrow. |
Arrangement | urlib.net > SDLA > Fonds > SIBGRAPI 2015 > Eyebrow segmentation and... |
doc Directory Content | access |
source Directory Content | there are no files |
agreement Directory Content | |
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4. Conditions of access and use | |
data URL | http://urlib.net/ibi/8JMKD3MGPBW34M/3JT78H2 |
zipped data URL | http://urlib.net/zip/8JMKD3MGPBW34M/3JT78H2 |
Language | en |
Target File | Sibgrapi_AR_cam_ready.pdf |
User Group | aditya_2806@hotmail.com administrator |
Visibility | shown |
Update Permission | not transferred |
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5. Allied materials | |
Mirror Repository | sid.inpe.br/banon/2001/03.30.15.38.24 |
Next Higher Units | 8JMKD3MGPBW34M/3K24PF8 |
Citing Item List | sid.inpe.br/sibgrapi/2015/08.03.22.49 65 sid.inpe.br/banon/2001/03.30.15.38.24 4 |
Host Collection | sid.inpe.br/banon/2001/03.30.15.38 |
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6. Notes | |
Empty Fields | archivingpolicy archivist area callnumber contenttype copyholder copyright creatorhistory descriptionlevel dissemination doi edition electronicmailaddress group isbn issn label lineage mark nextedition notes numberofvolumes orcid organization pages parameterlist parentrepositories previousedition previouslowerunit progress project readergroup readpermission resumeid rightsholder schedulinginformation secondarydate secondarykey secondarymark secondarytype serieseditor session shorttitle sponsor subject tertiarymark type url versiontype volume |
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