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Iterative Hough Forest with Histogram of Control Points for 6 DoF object registration from depth images.

, , и . IROS, стр. 4113-4118. IEEE, (2016)

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Yusuf Caner

Caner Cebeci

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Laurent Caner

Caner Süsal

 

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A Learning-based Variable Size Part Extraction Architecture for 6D Object Pose Recovery in Depth., , и . CoRR, (2017)Instance- and Category-level 6D Object Pose Estimation., , , и . CoRR, (2019)Recovering 6D Object Pose: Multi-modal Analyses on Challenges., и . CoRR, (2017)Under vehicle perception for high level safety measures using a catadioptric camera system., и . IECON, стр. 4306-4311. IEEE, (2013)Recovering 6D Object Pose: A Review and Multi-modal Analysis., и . ECCV Workshops (6), том 11134 из Lecture Notes in Computer Science, стр. 15-31. Springer, (2018)Category-Level 6D Object Pose Recovery in Depth Images., и . ECCV Workshops (1), том 11129 из Lecture Notes in Computer Science, стр. 665-681. Springer, (2018)A Review on Object Pose Recovery: from 3D Bounding Box Detectors to Full 6D Pose Estimators., , , и . CoRR, (2020)Multi-Task Deep Networks for Depth-Based 6D Object Pose and Joint Registration in Crowd Scenarios., , , и . BMVC, стр. 90. BMVA Press, (2018)Iterative Hough Forest with Histogram of Control Points for 6 DoF object registration from depth images., , и . IROS, стр. 4113-4118. IEEE, (2016)A learning-based variable size part extraction architecture for 6D object pose recovery in depth images., , и . Image Vis. Comput., (2017)