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A Summary of the 4th International Workshop on Recovering 6D Object Pose.

, , , , , , , , , , , , , , and . ECCV Workshops (1), volume 11129 of Lecture Notes in Computer Science, page 589-600. Springer, (2018)

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The Vision System of the ACROBOTER Project., , , , , and . ICIRA, volume 5928 of Lecture Notes in Computer Science, page 957-966. Springer, (2009)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)Latent-Class Hough Forests for 6 DoF Object Pose Estimation., , , , and . IEEE Trans. Pattern Anal. Mach. Intell., 40 (1): 119-132 (2018)Video-based object recognition with weakly supervised object localization., , and . ACPR, page 46-50. IEEE, (2015)Iterative Hough Forest with Histogram of Control Points for 6 DoF Object Registration from Depth Images., , and . CoRR, (2016)6D Object Detection and Next-Best-View Prediction in the Crowd., , , and . CoRR, (2015)Latent-Class Hough Forests for 3D Object Detection and Pose Estimation., , , and . ECCV (6), volume 8694 of Lecture Notes in Computer Science, page 462-477. Springer, (2014)Latent-Class Hough Forests for 6 DoF Object Pose Estimation., , , , and . CoRR, (2016)