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Multimodal templates for real-time detection of texture-less objects in heavily cluttered scenes.

, , , , , , and . ICCV, page 858-865. IEEE Computer Society, (2011)

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An Annotation Saved is an Annotation Earned: Using Fully Synthetic Training for Object Detection., , , , and . ICCV Workshops, page 2787-2796. IEEE, (2019)Simultaneous Recognition and Homography Extraction of Local Patches with a Simple Linear Classifier., , , , and . BMVC, page 1-10. British Machine Vision Association, (2008)On Pre-trained Image Features and Synthetic Images for Deep Learning., , , and . ECCV Workshops (1), volume 11129 of Lecture Notes in Computer Science, page 682-697. Springer, (2018)Going Further with Point Pair Features., , , and . ECCV (3), volume 9907 of Lecture Notes in Computer Science, page 834-848. Springer, (2016)Multimodal templates for real-time detection of texture-less objects in heavily cluttered scenes., , , , , , and . ICCV, page 858-865. IEEE Computer Society, (2011)Rapid selection of reliable templates for visual tracking., , and . CVPR, page 1355-1362. IEEE Computer Society, (2010)An Industrial Augmented Reality Solution For Discrepancy Check., , , , , and . ISMAR, page 111-115. IEEE Computer Society, (2007)N3M: Natural 3D Markers for Real-Time Object Detection and Pose Estimation., , and . ICCV, page 1-7. IEEE Computer Society, (2007)Dominant orientation templates for real-time detection of texture-less objects., , , , and . CVPR, page 2257-2264. IEEE Computer Society, (2010)Online learning of patch perspective rectification for efficient object detection., , , , and . CVPR, IEEE Computer Society, (2008)