ELCVIA

ELCVIA 3 records found  Search took 0.03 seconds. 
1.
15 p, 1.8 MB Depth Data Error Modeling of the ZED 3D Vision Sensor from Stereolabs / Ortiz, Luis Enrique (Universidade Federal do Rio Grande do Norte. Department of Computer Engineering and Automation) ; Cabrera, Elizabeth V. (Universidade Federal do Rio Grande do Norte. Department of Computer Engineering and Automation) ; Goncalves, Luiz M. (Universidade Federal do Rio Grande do Norte. Department of Computer Engineering and Automation)
The ZED camera is binocular vision system that can be used to provide a 3D perception of the world. It can be applied in autonomous robot navigation, virtual reality, tracking, motion analysis and so on. [...]
2018 - 10.5565/rev/elcvia.1084
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, Vol. 17 Núm. 1 (2018) , p. 1-15 (Regular Issue)  
2.
13 p, 1.5 MB Efficient Iris and Eyelids Detection from Facial Sketch Images / Boonchuan, Tan (Universiti Sains Malaysia. School of Electrical and Electronics Engineering) ; Setumin, Samsul (Universiti Sains Malaysia. School of Electrical and Electronics Engineering) ; Radman, Abduljalil (Universiti Sains Malaysia. School of Electrical and Electronics Engineering) ; Suandi, Shahrel Azmin (Universiti Sains Malaysia. School of Electrical and Electronics Engineering)
In this paper, we propose a simple yet effective technique for an automatic iris and eyelids detection method for facial sketch images. Our system uses Circular Hough Transformation (CHT) algorithm for iris localization process and a low level grayscale analysis for eyelids contour segmentation procedure. [...]
2018 - 10.5565/rev/elcvia.1044
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, Vol. 17 Núm. 1 (2018) , p. 16-28 (Regular Issue)  
3.
15 p, 717.9 KB A New feature extraction method to Improve Emotion Detection Using EEG Signals / Zamanian, Hanieh (University of Birjand (Birjand, Iran). Department of Electrical and Computer Engineering) ; Farsi, Hassan (University of Birjand (Birjand, Iran). Department of Electrical and Computer Engineering)
Since emotion plays an important role in human life, demand and importance of automatic emotion detection have grown with increasing role of human computer interface applications. In this research, the focus is on the emotion detection from the electroencephalogram (EEG) signals. [...]
2018 - 10.5565/rev/elcvia.1045
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, Vol. 17 Núm. 1 (2018) , p. 29-44 (Regular Issue)  

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