Incremental convolution neural network and its application in face detection

Xitong Fangzhen Xuebao / Journal of System Simulation

Volumn 21, Issue 8, 2009, Pages 2441-2445

  Gu, Jia Ling ^a   Peng, Hong Jing ^a  

^a NANJING TECH UNIVERSITY   (China)

Author keywords

Convolution networks; Face detection; Machine learning; Neural networks; Pattern classification

Indexed keywords

EID: 65649147178     PISSN: 1004731X     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (9)

1. B Moghaddam, A Pentland. Probabilistic visual learning for object representation [J]. IEEE Trans Pattern Analysis and Machine Intelligence (S0162-8828), 1997, 19(7): 696-710.
2. H Rowley, S Baluja, T Kanade. Neural network-based face detection [J]. IEEE Trans Pattern Analysis and Machine Intelligence (S0162-8828), 1998, 20(1): 23-38.
3. Paul Viola. Rapid Object Detection using a Boosted Cascade of Simple Features [C]// IEEE Conference on Computer Vision and Patter Recognition (S0162-8828), 2001. USA: IEEE, 2001.
4. Jose Hiroki Saito, et al. Using CMU PIE Human face database to a convolutional neural network-neocognitron [R]// European Symposium on Artificial Neural Networks Bruges, Belgium: ESANN, 2005, (4): 27-29.
5. C Carcia, M Delakis. A neural architecture for fast and robust face detection, proceeding [R]// 16th International Conference on Pattern Recognition. Canada: ICPR, 2002, (2): 44-47.
6. C Carcia, M Delakis. Convolutional face finder: a neural architecture for fast and robust face detection [J]. IEEE Trans. Patterns Analysis and Machine Intelligence (S0162-8828), 2004, 26(11): 1408-1421.