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Latent-Class Hough Forests for 6 DoF Object Pose Estimation.

, , , , and . IEEE Trans. Pattern Anal. Mach. Intell., 40 (1): 119-132 (2018)

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On the evaluation of illumination compensation algorithms., , and . Multim. Tools Appl., 77 (8): 9211-9231 (2018)The Vision System of the ACROBOTER Project., , , , , and . ICIRA, volume 5928 of Lecture Notes in Computer Science, page 957-966. Springer, (2009)A learning-based variable size part extraction architecture for 6D object pose recovery in depth images., , and . Image Vis. Comput., (2017)Visual Assistance to an Advanced Mechatronic Platform for Pick and Place Tasks., and . ICIRA (2), volume 6425 of Lecture Notes in Computer Science, page 705-716. Springer, (2010)Efficient representation and feature extraction for neural network-based 3D object pose estimation., , and . Neurocomputing, (2013)Sparse pose manifolds., , and . Auton. Robots, 37 (2): 191-207 (2014)XResolution Correspondence Networks., , , , and . CoRR, (2020)A Learning-based Variable Size Part Extraction Architecture for 6D Object Pose Recovery in Depth., , and . CoRR, (2017)What, Where and How? Introducing pose manifolds for industrial object manipulation., , , and . Expert Syst. Appl., 42 (21): 8123-8133 (2015)Simultaneous Visual Object Recognition and Position Estimation Using SIFT., , and . ICIRA, volume 5928 of Lecture Notes in Computer Science, page 866-875. Springer, (2009)