References
- Foroughi H, Ray N, Zhang H. Object classification with joint projection and low-rank dictionary learning. arXiv:1612.01594v1; 2016.
- Mueller CA, Birk A. Visual object categorization based on hierarchical shape motifs learned from noisy point cloud decompositions, arXiv:1804.01117v1; 2018.
- Elhoseiny M, Bakry A, Elgammal A. MultiClass object classication in video surveillance systems experimental study. CVPR Workshop; 2013.
- Solanki P, Gopal G. Image categorization using improved data mining technique big data analytics. Singapore: Springer; 2018. (Advances in intelligent systems and computing; vol. 654). pp. 185–193.
- Krizhevsky A, Ilya S, Geoffrey H. ImageNet classification with deep convolutional neural networks. Adv Neural Inf Process Syst. 2012;25:1097–1105.
- Misra I, Shrivastava A, Hebert M. Watch and learn: semi-supervised learning of object detectors from videos, CoRR, vol.abs/1505.05769; 2015.
- Szegedy C, Liu W, Jia Y, Sermanet P, Reed S, Anguelov D, Erhan D, Vanhoucke V, Rabinovich A. Going deeper with convolutions. In: 2015 IEEE Conf. Computer Vision and Pattern Recognition (CVPR); 2015. pp. 1–9
- Bochinski E, Eiselein V, Sikora T. Training a convolutional neural network for multi-class object detection using solely virtual world data. In: 13th IEEE Int. Conf. Advanced Video and Signal Based Surveillance (AVSS); 2016. pp. 278–285
- Lewin S, Jiang X, Clausing A. Perceptually motivated shape evolution with shape-preserving property. Pattern Recognit Lett. 2010;31(6):447–453. doi: 10.1016/j.patrec.2009.10.001
- Cooper H, Holt B, Bowden R. Sign language recognition. Vis Anal Hum. 2011;539–562. doi: 10.1007/978-0-85729-997-0_27
- Bensebaa A, Larabi S, Robertson NM. Head direction estimation from Silhouette. In: Image Analysis and Processing – ICIAP 2013 – 17th Int. Conf.; Naples, Italy; 2013 Sep 9–13. pp. 340–350
- Singh B, Kaur M, Singh D, Singh G. Automatic number plate recognition system by character position method. Int J Comput Vision Robot. 2016 Dec;6(1/2):94–112. doi: 10.1504/IJCVR.2016.073761
- Hidayatullah P, Syakrani N, Suhartini I, Muhlis W. Optical character recognition improvement for license plate recognition in Indonesia. Sixth UKSim/AMSS European Symposium on Computer Modeling and Simulation, EMS 2012, Malta, 2012 Nov. 14–16. pp. 249–254
- Lowe DG. Distinctive image features from scale-invariant keypoints. Int J Comput Vision. 2004;60(2):91–110. doi: 10.1023/B:VISI.0000029664.99615.94
- Laiche N, Larabi S. Shape retrieval through normalized B-splines curves. Multimed Tools Appl. 2018;77:13891–13921. doi:10.1007/s11042-017-4998-x.
- Dahmani D, Larabi S. User-independent system for sign language finger spelling recognition. J Vis Commun Image R. 2014;25:1240–1250. doi: 10.1016/j.jvcir.2013.12.019
- Bensebaa A, Larabi S. Direction estimation of moving pedestrian groups for intelligent vehicles. J Vis Comput. 2018;34:1109–1118. doi:10.1007/s00371-018-1520-z.
- Belongie S, Malik J, Puzicha J. Shape matching and object recognition using shape contexts. IEEE Trans Pattern Anal Mach Intell. 2002;24(4):509–522. doi: 10.1109/34.993558
- Ling H, Jacobs D. Using the inner-distance for classification of articulated shapes. In: Proc. Int. Conf. Computer Vision and Pattern Recognition; 2005. pp. 719–726
- Ebrahim Y, Ahmed M, Abdelsalam W, Chau S-C. Shape representation and description using the Hilbert curve. Pattern Recognit Lett. 2009;30(4):348–358. ISSN 0167–8655. doi: 10.1016/j.patrec.2008.09.013
- Andaló FA, Miranda PAV, Torres R da S, Falc ao AX. Shape feature extraction and description based on tensor scale. Pattern Recognit. 2010;43(1):26–36. doi: 10.1016/j.patcog.2009.06.012
- Simple and fast shape based image retrieval. In: Proc. Int. Conf. Computational Vision and Medical Image Processing: VipIMAGE; 2011.
- Wang J, Bai X, You X, Liu W, Latecki LJ. Shape matching and classification using height functions. Pattern Recognit Lett. 2012 Jan 15;33(2):134–143. ISSN 0167-8655, doi:10.1016/j.patrec.2011.09.042.
- Pedrosa GV, Batista MA, Barcelos CAZ. Image feature descriptor based on shape salience points. Neurocomputing. 2013;120:156–163. doi: 10.1016/j.neucom.2012.07.055
- Laiche N, Larabi S, Ladraa F, Khadraoui A. Curve normalization for shape retrieval. Signal Process Image Commun. 2014;29(4):556–571. ISSN 0923–5965. doi: 10.1016/j.image.2014.01.009
- Bai X, Rao C, Wang X. Shape vocabulary: a robust and efficient shape representation for shape matching. IEEE Trans Image Process. 2014;23(9):3935–3949. doi: 10.1109/TIP.2014.2336542
- Bouagar S, Larabi S. Efficient descriptor for full and partial shape matching. Multimed Tools Appl. 2016;75:2989–3011. doi: 10.1007/s11042-014-2417-0
- Yahya S, Fatih DM. 2D and 3D shape retrieval using skeleton filling rate. Multimed Tools Appl. 2017;76:7823–7848. doi: 10.1007/s11042-016-3422-2
- Yang C, Tiebe O, Shirahama K, Grzegorzek M. Object matching with hierarchical skeletons. Pattern Recognit. 2016;55:183–197. doi: 10.1016/j.patcog.2016.01.022
- Jurie F, Schmid C. Scale-invariant shape features for recognition of object categories. In: Proc. Int. Conf. Computer Vision and Pattern Recognition; 2004. pp. II-90–II-96.
- Sebastian TB, Klein PN, Kimia BB. Recognition of shapes by editing their shock graphs. IEEE Trans Pattern Anal Mach Intell. 2004 May;26(5):550–571. doi:10.1109/TPAMI.2004.1273924.
- https://www.dei.unipd.it/node/2357.
- Goyette N, Jodoin PM, Porikli F, Konrad J, Ishwar P. Changedetection.net: a new change detection benchmark dataset. In: IEEE Comp. Society Conf. Computer Vision and Pattern Recognition Workshops; 2012.
- Jia Q, Fan X, Liu Y, Li H, Luo Z, Guo H. Hierarchical projective invariant contexts for shape recognition. Pattern Recognit. 2016;52:358–374. ISSN 0031–3203. doi: 10.1016/j.patcog.2015.11.003
- Latecki LJ, Lakamper R, Eckhardt T. Shape descriptors for non-rigid shapes with a single closed contour. In: Proc. IEEE Conf. Computer Vision and Pattern Recognition. CVPR. Vol. 1; 2000. pp. 424–429.
- Wang P, Hu X, Li Y, Liu Q, Zhu X. Automatic cell nuclei segmentation and classification of breast cancer histopathology images. Signal Process. 2016122;1–13. doi: 10.1016/j.sigpro.2015.11.011
- Bai X, Liu W, Tu Z. Integrating contour and skeleton for shape classification. In: 2009 IEEE 12th International Conference on Computer Vision Workshops, ICCV Workshops; Kyoto; 2009. pp. 360–367.
- Veltkamp R. Shape matching: similarity measures and algorithms. In: Proc. Int. Conf. Shape Modeling and Applications. SMI; 2001. pp.188–197.
- Lin W-S, Wu Y-L, Hung W-C, Tang C-Y. A study of real-time hand gesture recognition using sift on binary images. In: Proc. Int. Conf. Computer Symposium ICS 2012; Hualien: Taiwan; 2012 Dec. pp. 235–246.
- A.Spanhol F, Oliveira LS, Petitjean C, Heutte L. Breast cancer histopathological image classification using convolutional neural networks. In: 2016 Int. Joint Conf. Neural Networks IJCNN; BC, Canada: Vancouver; 2016 Jul 24–29. pp. 2560–2567.