Технологии инженерных и информационных систем. 2016; : 35-42
Выделение характерных частот изображения объекта
Аннотация
Список литературы
1. Shet Vinay. Street View And reCAPTCHA Technology Just Got Smarter. Google Security Blog. 2014. Режим доступа: https://security.googleblog.com/2014/04/street-view-and-recaptcha-technology.html (дата обращения 21.08.2016)
2. Silveira Joaquim, Ferreira Manuel J., Santos Cristina, Martins Teresa. Computer Vision Techniques Applied to the Quality Control of Ceramic Plates. Proceedings of the IEEE international Conference on Industrial Technology. Gippsland: ICIT, 2009.
3. Kuzmanić Ivica, Vujović Igor, Šoda Joško. Damage Detection in Materials Based on Computer Vision Wavelet Algorithm. Advanced Structured Materials. Heidelberg, Germany: Springer Cham Heidelberg, 2014. P. 157-186.
4. Richards Blin, Dayton John, Enriquez Miguel, Gan Mathew, Liu James, Quintana Jordan. Obstacle Avoidance System for UAVs using Computer Vision. Cal Poly Pomona Student RSCA Conference. Pomona: California State Polytechnic University, 2014.
5. Guizzo Erico. How Google's Self-Driving Car Works. IEEE Spectrum, 2011. Режим доступа: http://spectrum.ieee.org/automaton/robotics/artificial-intelligence/how-google-self-driving-car-works (дата обращения 21.08.2016)
6. Lepetit Vincent. On Computer Vision for Augmented Reality. Ubiquitous Virtual Reality. IEEE, 2008. P. 13–16.
7. Forsyth David A., Ponce Jean. Computer Vision: A Modern Approach (2nd Edition). Upper Pearson Education, Inc. Saddle River, New Jersey, 2011. 793 p.
8. Murphy Kevin, Torralba Antonio, Eaton Daniel, Freeman William. Object Detection and Localization Using Local and Global Features. Toward Category-Level Object Recognition. Springer Berlin Heidelberg. Heidelberg, Germany, 2006. P. 382–400.
9. Viola Paul, Jones Michael J. Robust Real-Time Face Detection. International Journal of Computer Vision. Netherlands: Kluwer Academic Publishers, 2004. P. 137–154.
10. Arunkumar R., Balasubramanian M., Palanivel S. Indoor Object Recognition System using Combined DCT-DWT Under Supervised Classifier. International Journal of Computer Applications. New York: FCS® (Foundation of Computer Science), 2013. P. 16-21.
11. Dalal Navneet, Triggs Bill. Histograms of Oriented Gradients for Human Detection. Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05). IEEE, 2005. P. 886–893.
12. Corvee E. Body Parts Detection for People Tracking Using Trees of Histogram of Oriented Gradient Descriptors. Advanced Video and Signal Based Surveillance (AVSS). IEEE, 2010. P. 469–475.
Title in english. 2016; : 35-42
Выделение характерных частот изображения объекта
Abstract
References
1. Shet Vinay. Street View And reCAPTCHA Technology Just Got Smarter. Google Security Blog. 2014. Rezhim dostupa: https://security.googleblog.com/2014/04/street-view-and-recaptcha-technology.html (data obrashcheniya 21.08.2016)
2. Silveira Joaquim, Ferreira Manuel J., Santos Cristina, Martins Teresa. Computer Vision Techniques Applied to the Quality Control of Ceramic Plates. Proceedings of the IEEE international Conference on Industrial Technology. Gippsland: ICIT, 2009.
3. Kuzmanić Ivica, Vujović Igor, Šoda Joško. Damage Detection in Materials Based on Computer Vision Wavelet Algorithm. Advanced Structured Materials. Heidelberg, Germany: Springer Cham Heidelberg, 2014. P. 157-186.
4. Richards Blin, Dayton John, Enriquez Miguel, Gan Mathew, Liu James, Quintana Jordan. Obstacle Avoidance System for UAVs using Computer Vision. Cal Poly Pomona Student RSCA Conference. Pomona: California State Polytechnic University, 2014.
5. Guizzo Erico. How Google's Self-Driving Car Works. IEEE Spectrum, 2011. Rezhim dostupa: http://spectrum.ieee.org/automaton/robotics/artificial-intelligence/how-google-self-driving-car-works (data obrashcheniya 21.08.2016)
6. Lepetit Vincent. On Computer Vision for Augmented Reality. Ubiquitous Virtual Reality. IEEE, 2008. P. 13–16.
7. Forsyth David A., Ponce Jean. Computer Vision: A Modern Approach (2nd Edition). Upper Pearson Education, Inc. Saddle River, New Jersey, 2011. 793 p.
8. Murphy Kevin, Torralba Antonio, Eaton Daniel, Freeman William. Object Detection and Localization Using Local and Global Features. Toward Category-Level Object Recognition. Springer Berlin Heidelberg. Heidelberg, Germany, 2006. P. 382–400.
9. Viola Paul, Jones Michael J. Robust Real-Time Face Detection. International Journal of Computer Vision. Netherlands: Kluwer Academic Publishers, 2004. P. 137–154.
10. Arunkumar R., Balasubramanian M., Palanivel S. Indoor Object Recognition System using Combined DCT-DWT Under Supervised Classifier. International Journal of Computer Applications. New York: FCS® (Foundation of Computer Science), 2013. P. 16-21.
11. Dalal Navneet, Triggs Bill. Histograms of Oriented Gradients for Human Detection. Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05). IEEE, 2005. P. 886–893.
12. Corvee E. Body Parts Detection for People Tracking Using Trees of Histogram of Oriented Gradient Descriptors. Advanced Video and Signal Based Surveillance (AVSS). IEEE, 2010. P. 469–475.
