Unified Optimization for Multiple Active Object Recognition Tasks with Feature Decision Tree

[1]  R. Bajcsy Active perception , 1988, Proc. IEEE.

[2]  Sven J. Dickinson,et al.  Active Object Recognition Integrating Attention and Viewpoint Control , 1997, Comput. Vis. Image Underst..

[3]  Yiming Ye,et al.  Sensor Planning for 3D Object Search, , 1999, Comput. Vis. Image Underst..

[4]  Lucas Paletta,et al.  Appearance-based active object recognition , 2000, Image Vis. Comput..

[5]  Lucas Paletta,et al.  Active object recognition by view integration and reinforcement learning , 2000, Robotics Auton. Syst..

[6]  Subhashis Banerjee,et al.  Isolated 3D object recognition through next view planning , 2000, IEEE Trans. Syst. Man Cybern. Part A.

[7]  Joachim Denzler,et al.  Information Theoretic Sensor Data Selection for Active Object Recognition and State Estimation , 2002, IEEE Trans. Pattern Anal. Mach. Intell..

[8]  Yiannis Aloimonos,et al.  Active vision , 2004, International Journal of Computer Vision.

[9]  Katsushi Ikeuchi,et al.  Planning multiple observations for object recognition , 2005, International Journal of Computer Vision.

[10]  Joachim Denzler,et al.  Aspects of Optimal Viewpoint Selection and Viewpoint Fusion , 2006, ACCV.

[11]  Shengyong Chen,et al.  Active vision in robotic systems: A survey of recent developments , 2011, Int. J. Robotics Res..

[12]  John K. Tsotsos,et al.  50 Years of object recognition: Directions forward , 2013, Comput. Vis. Image Underst..

[13]  Giorgio Metta,et al.  Active In-Hand Object Recognition on a Humanoid Robot , 2014, IEEE Transactions on Robotics.

[14]  Gi Hyun Lim,et al.  Interactive Open-Ended Learning for 3D Object Recognition: An Approach and Experiments , 2015, J. Intell. Robotic Syst..

[15]  Gaurav S. Sukhatme,et al.  Active multi-view object recognition: A unifying view on online feature selection and view planning , 2016, Robotics Auton. Syst..

[16]  Markus Vincze,et al.  Viewpoint Evaluation for Online 3-D Active Object Classification , 2016, IEEE Robotics and Automation Letters.

[17]  Fuchun Sun,et al.  Extreme Trust Region Policy Optimization for Active Object Recognition , 2018, IEEE Transactions on Neural Networks and Learning Systems.

[18]  Fuchun Sun,et al.  Active object recognition using hierarchical local-receptive-field-based extreme learning machine , 2018, Memetic Comput..

[19]  Fuchun Sun,et al.  Active Object Detection With Multistep Action Prediction Using Deep Q-Network , 2019, IEEE Transactions on Industrial Informatics.

[20]  Kai Xu,et al.  Recurrent 3D attentional networks for end-to-end active object recognition , 2019, Computational Visual Media.

[21]  Petros Daras,et al.  Deep sensorimotor learning for RGB-D object recognition , 2020, Comput. Vis. Image Underst..