Please use this identifier to cite or link to this item:
http://localhost:8080/xmlui/handle/123456789/2865Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Raviteja, T.; | - |
| dc.contributor.author | Karanam, S | - |
| dc.contributor.author | Yeduguru, D.R.V. | - |
| dc.date.accessioned | 2025-01-23T05:25:12Z | - |
| dc.date.available | 2025-01-23T05:25:12Z | - |
| dc.date.issued | 2011-12 | - |
| dc.identifier.citation | 10.1117/12.920068 | en_US |
| dc.identifier.uri | http://localhost:8080/xmlui/handle/123456789/2865 | - |
| dc.description | NITW | en_US |
| dc.description.abstract | Human face detection plays a vital role in many applications like video surveillance, managing a face image database, human computer interface among others. This paper proposes a robust algorithm for face detection in still color images that works well even in a crowded environment. The algorithm uses conjunction of skin color histogram, morphological processing and geometrical analysis for detecting human faces. To reinforce the accuracy of face detection, we further identify mouth and eye regions to establish the presence/absence of face in a particular region of interest. | en_US |
| dc.language.iso | en | en_US |
| dc.publisher | Proceedings of SPIE - The International Society for Optical Engineering | en_US |
| dc.subject | Face Detection | en_US |
| dc.subject | Connected Component | en_US |
| dc.title | A Robust Human Face Detection Algorithm | en_US |
| dc.type | Other | en_US |
| Appears in Collections: | Computer Science & Engineering | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 83490V.pdf | 1.41 MB | Adobe PDF | View/Open |
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