Real-Time Ensemble Based Face Recognition System for Humanoid Robots
| dc.contributor.advisor | Anbarjafari, Gholamreza | |
| dc.contributor.advisor | Bolotnikova, Anastasia | |
| dc.contributor.author | Samuel, Kadri | |
| dc.contributor.other | Tartu Ülikool. Loodus- ja täppisteaduste valdkond | et |
| dc.contributor.other | Tartu Ülikool. Tehnoloogiainstituut | et |
| dc.date.accessioned | 2016-06-14T12:31:26Z | |
| dc.date.available | 2016-06-14T12:31:26Z | |
| dc.date.issued | 2016 | |
| dc.description.abstract | Humanoid robots are being used in many industrial and domestic application in which human-robot interaction plays an important role. One of the important existing challenges is developing an accurate real-time face recognition system which is not required to be computationally expensive. In this research work a real-time face recognition system which requires low computational complexity is proposed. For this purpose, this thesis is investigating block processing of local binary patterns of the face images captured by NAO robot, a humanoid. For test purposes, the proposed method is adopted on NAO robot and tested under realworld conditions. The experimental results through this thesis are showing that the proposed face recognition algorithm compares favorably to the conventional and state-of-the-art techniques. | en |
| dc.identifier.uri | http://hdl.handle.net/10062/51862 | |
| dc.language.iso | eng | |
| dc.publisher | Tartu Ülikool | et |
| dc.subject | Local binary patterns, face recognition, human-robot interaction, YUV colour space, ensemble methods, machine learning, humanoid robots, NAO robots, computer vision, T111 Image processing | en |
| dc.subject.other | bakalaureusetööd | et |
| dc.title | Real-Time Ensemble Based Face Recognition System for Humanoid Robots | en |
| dc.title.alternative | Reaalajaline ansamblitele tuginev näaotuvastussüsteem humanoidrobotitele | et |
| dc.type | Thesis | en |