Digital video segmentation
This final year project report is about software project regarding face detection. In the report, we will first introduce some background knowledge about face detection. Followed by some of the current popular techniques we are using in this area. After that, we will combine some of the methods prop...
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| Other Authors: | |
| Format: | Final Year Project (FYP) |
| Language: | English |
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2009
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| Online Access: | http://hdl.handle.net/10356/17059 |
| _version_ | 1811695645252124672 |
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| author | Li, Yuanjing. |
| author2 | Ma Kai Kuang |
| author_facet | Ma Kai Kuang Li, Yuanjing. |
| author_sort | Li, Yuanjing. |
| collection | NTU |
| description | This final year project report is about software project regarding face detection. In the report, we will first introduce some background knowledge about face detection. Followed by some of the current popular techniques we are using in this area. After that, we will combine some of the methods proposed by researchers to form our own algorithm. The algorithm has two parts, one is the skin segmentation, and another is face feature detection. We will provide some of the detection results as well as the limitations of the algorithm after that. Finally the direction of the future work is going to be explained at the end of the report. The program codes are given in the appendix. |
| first_indexed | 2024-10-01T07:26:46Z |
| format | Final Year Project (FYP) |
| id | ntu-10356/17059 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T07:26:46Z |
| publishDate | 2009 |
| record_format | dspace |
| spelling | ntu-10356/170592023-07-07T15:48:36Z Digital video segmentation Li, Yuanjing. Ma Kai Kuang School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering::Electronic systems::Signal processing This final year project report is about software project regarding face detection. In the report, we will first introduce some background knowledge about face detection. Followed by some of the current popular techniques we are using in this area. After that, we will combine some of the methods proposed by researchers to form our own algorithm. The algorithm has two parts, one is the skin segmentation, and another is face feature detection. We will provide some of the detection results as well as the limitations of the algorithm after that. Finally the direction of the future work is going to be explained at the end of the report. The program codes are given in the appendix. Bachelor of Engineering 2009-05-29T04:45:46Z 2009-05-29T04:45:46Z 2009 2009 Final Year Project (FYP) http://hdl.handle.net/10356/17059 en Nanyang Technological University 55 p. application/pdf |
| spellingShingle | DRNTU::Engineering::Electrical and electronic engineering::Electronic systems::Signal processing Li, Yuanjing. Digital video segmentation |
| title | Digital video segmentation |
| title_full | Digital video segmentation |
| title_fullStr | Digital video segmentation |
| title_full_unstemmed | Digital video segmentation |
| title_short | Digital video segmentation |
| title_sort | digital video segmentation |
| topic | DRNTU::Engineering::Electrical and electronic engineering::Electronic systems::Signal processing |
| url | http://hdl.handle.net/10356/17059 |
| work_keys_str_mv | AT liyuanjing digitalvideosegmentation |