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Multimodal Templates for Real-Time Detection of Texture-less Objects in Heavily Cluttered Scenes

机译：用于实时检测重杂乱场景中无纹理对象的多模板模板

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Stefan Hinterstoisser; Stefan Holzer; Cedric Cagniart; Slobodan Ilic; Kurt Konolige; Nassir Navab; Vincent Lepetit;
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年度 2012
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1. An Improved Method for Model-Based Training, Detection and Pose Estimation of Texture-Less 3D Objects in Occlusion Scenes [J] . Dewei Zou, Qi Cao, Zilong Zhuang, Procedia CIRP . 2019,第2期

机译：一种基于模型的遮挡场景中纹理较少的3D对象的训练，检测和姿势估计的改进方法
2. Combine color and shape in real-time detection of texture-less objects [J] . Xiaoming Peng Computer vision and image understanding . 2015,第juna期

机译：结合颜色和形状以实时检测无纹理的对象
3. Learning latent geometric consistency for 6D object pose estimation in heavily cluttered scenes [J] . Li Qingnan, Hu Ruimin, Xiao Jing, Journal of visual communication & image representation . 2020,第Jula期

机译：学习潜在几何一致性在严重杂乱场景中的6D对象姿态估计
4. Multimodal templates for real-time detection of texture-less objects in heavily cluttered scenes [C] . Hinterstoisser Stefan, Holzer Stefan, Cagniart Cedric, Computer Vision (ICCV), 2011 IEEE International Conference on . 2011

机译：多模式模板，用于实时检测严重混乱场景中的无纹理物体
5. Seeing Behind the Scene: Using Symmetry to Reason About Objects in Cluttered Environments [D] . Ecins, Aleksandrs. 2017

机译：在幕后看：在混乱环境中使用对称性推理物体
6. Real-Time Object Tracking with Template Tracking and Foreground Detection Network [O] . Kaiheng Dai, Yuehuan Wang, Qiong Song 2019

机译：利用模板跟踪和前景检测网络进行实时对象跟踪
7. Model Based Training, Detection and Pose Estimation of Texture-Less 3D Objects in Heavily Cluttered Scenes [O] . Stefan Hinterstoisser, Kurt Konolige, Nassir Navab 2012

机译：基于模型的重度杂波场景中无纹理三维物体的训练，检测和姿态估计

Multimodal Templates for Real-Time Detection of Texture-less Objects in Heavily Cluttered Scenes

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