Deteksi Wajah dan Mata dengan Menggunakan Metode Fitur Haar-Like pada Kamera WebCam
Abstract
Keywords
Full Text:
PDFReferences
X. Sun, P. Wu, and S. C. H. Hoi, “Neurocomputing Face detection using deep learning : An improved faster RCNN approach,” Neurocomputing, vol. 299, pp. 42–50, 2018.
X. Zhao, X. Chai, Z. Niu, C. Heng, and S. Shan, “Context modeling for facial landmark detection based on Non-Adjacent Rectangle ( NAR ) Haar-like feature ?,” IMAVIS, vol. 30, no. 3, pp. 136–146, 2012.
S. Pavani, D. Delgado, and A. F. Frangi, “Haar-like features with optimally weighted rectangles for rapid object detection,” Pattern Recognit., vol. 43, no. 1, pp. 160–172, 2010.
A. Mohamed, A. Issam, B. Mohamed, and B. Abdellatif, “Real-time detection of vehicles using the haar-like features and artificial neuron networks,” Procedia - Procedia Comput. Sci., vol. 73, no. Awict, pp. 24–31, 2015.
K. Park and S. Hwang, “An improved Haar-like feature for efficient object detection q,” PATTERN Recognit. Lett., vol. 42, pp. 148–153, 2014.
D. Lima et al., “Computers in Industry Augmented visualization using homomorphic fi ltering and Haar-based natural markers for power systems substations,” Comput. Ind., vol. 97, pp. 67–75, 2018.
M. Abed, M. Khanapi, A. Ghani, and N. Arunkumar, “A real time computer aided object detection of nasopharyngeal carcinoma using genetic algorithm and artificial neural network based on Haar feature fear,” Futur. Gener. Comput. Syst., vol. 89, pp. 539–547, 2018.
B. Mohamed, A. Issam, A. Mohamed, and B. Abdellatif, “ECG image classification in real time based on the haar-like features and artificial neural networks,” Procedia - Procedia Comput. Sci., vol. 73, no. Awict, pp. 32–39, 2015.
Refbacks
- There are currently no refbacks.