1. Denzler, J.; Brown, C. M. Information theoretic sensor data selection for active object recognition and state estimation. IEEE Transactions on Pattern Analysis and Machine Intelligence Vol. 24, No. 2, 145–157, 2002.
2. Huber, M. F.; Dencker, T.; Roschani, M.; Beyerer, J. Bayesian active object recognition via Gaussian process regression. In: Proceedings of the 15th International Conference on Information Fusion, 1718–1725, 2012.
3. Wu, Z.; Song, S.; Khosla, A.; Yu, F.; Zhang, L.; Tang, X.; Xiao, J. 3D ShapeNets: A deep representation for volumetric shapes. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 1912–1920, 2015.
4. Lecture Notes in Computer Science, Vol. 9909.;D Jayaraman,2016
5. Xu, K.; Shi, Y.; Zheng, L.; Zhang, J.; Liu, M.; Huang, H.; Su, H.; Cohen-Or, D.; Chen, B. 3D attention-driven depth acquisition for object identifiation. ACM Transactions on Graphics Vol. 35, No. 6, Article No. 238, 2016.