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Model Based Training, Detection and Pose Estimation of Texture-Less 3D Objects in Heavily Cluttered Scenes

Computer Vision – ACCV 2012, p.548-562

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Dominant orientation templates for real-time detection of texture-less objects

2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2010, p.2257-2264

2010

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Technical Demonstration on Model Based Training, Detection and Pose Estimation of Texture-Less 3D Objects in Heavily Cluttered Scenes

Computer Vision – ECCV 2012. Workshops and Demonstrations, p.593-596

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Multi-Task Domain Adaptation for Deep Learning of Instance Grasping from Simulation

2018 IEEE International Conference on Robotics and Automation (ICRA), 2018, p.3516-3523

2018

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Gradient Response Maps for Real-Time Detection of Textureless Objects

IEEE transactions on pattern analysis and machine intelligence, 2012-05, Vol.34 (5), p.876-888

2012

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Going Further with Point Pair Features

Computer Vision – ECCV 2016, p.834-848

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On Pre-trained Image Features and Synthetic Images for Deep Learning

Computer Vision – ECCV 2018 Workshops, p.682-697

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An Annotation Saved is an Annotation Earned: Using Fully Synthetic Training for Object Detection

2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW), 2019, p.2787-2796

2019

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

2011 International Conference on Computer Vision, 2011, p.858-865

2011

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Distance transform templates for object detection and pose estimation

2009 IEEE Conference on Computer Vision and Pattern Recognition, 2009, p.1177-1184

2009

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Optimal Local Searching for Fast and Robust Textureless 3D Object Tracking in Highly Cluttered Backgrounds

IEEE transactions on visualization and computer graphics, 2014-01, Vol.20 (1), p.99-110

2014

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Rapid selection of reliable templates for visual tracking

2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2010, p.1355-1362

2010

Volltextzugriff (PDF)

Gradient Response Maps for Real-Time Detection of Texture-Less Objects

IEEE transactions on pattern analysis and machine intelligence, 2012-05, Vol.34 (5), p.876-888

2012

Volltextzugriff (PDF)

Real-time detection and pose estimation of low-textured and texture-less objects

Hinterstoißer, Stefan

2012

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Optimal Local Searching for Fast and Robust Textureless 3D Object Tracking in Highly Cluttered Backgrounds

IEEE transactions on visualization and computer graphics, 2013-06

2013

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Real-time learning of accurate patch rectification

2009 IEEE Conference on Computer Vision and Pattern Recognition, 2009, p.2945-2952

2009

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An Industrial Augmented Reality Solution For Discrepancy Check

2007 6th IEEE and ACM International Symposium on Mixed and Augmented Reality, 2007, p.1-4

2007

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Model Based Training, Detection and Pose Estimation of Texture-Less 3D Objects in Heavily Cluttered Scenes

Dominant orientation templates for real-time detection of texture-less objects

Technical Demonstration on Model Based Training, Detection and Pose Estimation of Texture-Less 3D Objects in Heavily Cluttered Scenes

Multi-Task Domain Adaptation for Deep Learning of Instance Grasping from Simulation

Gradient Response Maps for Real-Time Detection of Textureless Objects

Going Further with Point Pair Features

On Pre-trained Image Features and Synthetic Images for Deep Learning

An Annotation Saved is an Annotation Earned: Using Fully Synthetic Training for Object Detection

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

Distance transform templates for object detection and pose estimation

Optimal Local Searching for Fast and Robust Textureless 3D Object Tracking in Highly Cluttered Backgrounds

Rapid selection of reliable templates for visual tracking

Gradient Response Maps for Real-Time Detection of Texture-Less Objects

Real-time detection and pose estimation of low-textured and texture-less objects

Optimal Local Searching for Fast and Robust Textureless 3D Object Tracking in Highly Cluttered Backgrounds

Real-time learning of accurate patch rectification

An Industrial Augmented Reality Solution For Discrepancy Check

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