Mesh Segmentation Based on Optimizing Extreme Learning Machine with Ant Lion Optimization

Xiaowen Yang; Honghong Yin; Xie Han; Jiaming Liu

doi:10.3788/LOP57.041014

[1] Xia Q, Li S, Hao A M et al. Deep learning for digital geometry processing and analysis: a review[J]. Journal of Computer Research and Development, 56, 155-182(2019).

[2] An Z, Xu X P, Yang J H et al. Design of augmented reality head-up display system based on image semantic segmentation[J]. Acta Optica Sinica, 38, 0710004(2018).

[3] Dong S J. The research of 3D model segmentation algorithm based on machine learning[D]. Kunming: Yunnan University(2014).

[4] Zhao T Y, Li H S, Wu X Q et al. A 3D shape segmentation method based on multi-feature fusion[J]. Journal of Computer-Aided Design & Computer Graphics, 30, 2011-2017(2018).

[5] Zhang Y N, Zhou S, Niu L C et al. A mesh segmentation method based on ant colony optimization[J]. Computer Engineering, 44, 277-281(2018).

[6] Xie Z G, Xu K, Liu L G et al. 3D shape segmentation and labeling via extreme learning machine[J]. Computer Graphics Forum, 33, 85-95(2014).

[7] Guo K, Zou D Q, Chen X W. 3D mesh labeling via deep convolutional neural networks[J]. ACM Transactions on Graphics, 35, 3(2015).

[8] Li H Y. Fast learning method for 3D shape segmentation and labeling[J]. Computer Engineering and Applications, 53, 211-216(2017).

[9] Huang G B, Zhu Q Y, Siew C K. Extreme learning machine: a new learning scheme of feedforward neural networks. [C]∥Proceedings of the International Joint Conference on Neural Networks, July 25-29, 2004, Budapest, Hungary. New York: IEEE, 25-29(2004).

[10] Chen X B, Golovinskiy A, Funkhouser T. A benchmark for 3D mesh segmentation[J]. ACM Transactions on Graphics, 28, 73(2009).

[11] Wang Z B, Yang W, Qin L. Target tracking based on particle swarm optimization using dynamic pyroelectric infrared sensor[J]. Acta Optica Sinica, 34, 1004001(2014).

[12] Hui X W, Chang Z Y, Lin S et al. Image edge extraction combined with Predator-Prey-AACO algorithm[J]. Laser & Optoelectronics Progress, 52, 051001(2015).

[13] Wang M J, Chen H L, Li H Z et al. Grey wolf optimization evolving kernel extreme learning machine: application to bankruptcy prediction[J]. Engineering Applications of Artificial Intelligence, 63, 54-68(2017).

[14] Mirjalili S. The ant lion optimizer[J]. Advances in Engineering Software, 83, 80-98(2015).

[15] Belongie S, Malik J, Puzicha J. Shape matching and object recognition using shape contexts[J]. IEEE Transactions on Pattern Analysis & Machine Intelligence, 24, 509-522(2002).

[16] Hilaga M, Shinagawa Y, Kohmura T et al. Topology matching for fully automatic similarity estimation of 3D shapes. [C]∥Proceedings of the 28th Annual Conference on Computer Graphics and Interactive Techniques, August 12-17, 2001, Los Angeles, California, USA. New York: ACM, 203-212(2001).

[17] Shapira L, Shalom S, Shamir A et al. Contextual part analogies in 3D objects[J]. International Journal of Computer Vision, 89, 309-326(2010).

[18] Wang Y, Zhou M R, Chen R Y et al. Identification method of coal mine water inrush spectrum based on multilayer regularization extreme learning machine[J]. Acta Optica Sinica, 38, 0730002(2018).

[19] Lü X C, Li G L, Li H et al. application of feature-extraction-based extreme learning machine algorithm in tunable diode laser absorption spectroscopy[J]. Chinese Journal of Lasers, 45, 0911013(2018).