Depth kernel descriptors for object recognition

Keywords

Artificial intelligence, Computer vision, Computer science, Kernel (algebra), RGB color model

References

• Object recognition with hierarchical kernel descriptorsLiefeng Bo, Kevin Lai, Xiaofeng Ren — 2011
• Locality-constrained Linear Coding for image classificationJinjun Wang, Jianchao Yang, Kai Yu — 2010
• Real-time human pose recognition in parts from single depth imagesJamie Shotton, Toby Sharp, Alex Kipman — 2011
• Using Spin Images for Efficient Object Recognition in Cluttered 3D ScenesAndrew Johnson, Martial Hebert — 1999
• Kernel Descriptors for Visual RecognitionLiefeng Bo, Xiaofeng Ren, Dieter Fox — 2010
• ImageNet: A large-scale hierarchical image databaseJia Deng, Wei Dong, Richard Socher — 2009
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• LIBLINEAR: A Library for Large Linear ClassificationRong-En Fan, Kai‐Wei Chang, Cho‐Jui Hsieh — 2008
• Large-scale image classification: Fast feature extraction and SVM trainingYuanqing Lin, Fengjun Lv, Shenghuo Zhu — 2011
• Object Recognition in 3D Point Clouds Using Web Data and Domain AdaptationKevin Lai, Dieter Fox — 2010
• Convolutional deep belief networks for scalable unsupervised learning of hierarchical representationsHonglak Lee, Roger Grosse, Rajesh Ranganath — 2009
• Point feature extraction on 3D range scans taking into account object boundariesBastian Steder, Radu Bogdan Rusu, Kurt Konolige — 2011
• A Fast Learning Algorithm for Deep Belief NetsGeoffrey E. Hinton, Simon Osindero, Yee‐Whye Teh — 2006
• Efficient Match Kernel between Sets of Features for Visual RecognitionLiefeng Bo, Cristian Sminchisescu — 2009
• Distinctive Image Features from Scale-Invariant KeypointsDavid Lowe — 2004
• LIBSVM: A library for support vector machinesChih-Chung Chang, Chih‐Jen Lin — 2011
• A large-scale hierarchical multi-view RGB-D object datasetKevin Lai, Liefeng Bo, Xiaofeng Ren — 2011
• Fast Point Feature Histograms (FPFH) for 3D registrationRadu Bogdan Rusu, Nico Blodow, Michael Beetz — 2009
• Model globally, match locally: Efficient and robust 3D object recognitionBertram Drost, Markus Ulrich, Nassir Navab — 2010
• Beyond Bags of Features: Spatial Pyramid Matching for Recognizing Natural Scene CategoriesSvetlana Lazebnik, C. Schmid, Jean Ponce — 2006

Cited by

• Kinect based system applied to breast cancer conservative treatmentMarco Alexandre Dias Silva — 2012
• From pixels to gestures: learning visual representations for human analysis in color and depth data sequencesAntonio Hernández-Vela — 2015
• Tracking dynamic construction objects ---a key node modeling approach using color-depth camerasChenxi Yuan — 2014
• Tracking of object deformations in color and depth video: deformation models and applicationsAndreas Jordt, Stefan Reinhold, Reinhard Koch — 2015
• Proto-object categorisation and local gist vision using low-level spatial featuresJaime A. Martins, João M. F. Rodrigues, J. M. H. du Buf — 2015
• Multimodal deep learning for robust RGB-D object recognitionAndreas Eitel, Jost Tobias Springenberg, Luciano Spinello — 2015
• Sparse Representation, Discriminative Dictionaries and Projections for Visual ClassificationA. Shrivastava — 2015
• Feature-Feature Matching For Object Retrieval in Point CloudsMichal Staniaszek — 2015
• Covariance based point cloud descriptors for object detection and recognitionDuc Fehr, William J. Beksi, Dimitris Zermas — 2016
• Semi-supervised learning and feature evaluation for RGB-D object recognitionYanhua Cheng, Xin Zhao, Kaiqi Huang — 2015
• Generic object recognition based on the fusion of 2D and 3D SIFT descriptorsMiaomiao Liu, Xinde Li, Jean Dezert — 2015
• A Review of Volume Estimation Techniques of FruitHitesh Kachariya, Keval Vasaniya, Savan Dhameliya — 2015
• Covariance Based Point Cloud Descriptors for Object Detection and ClassificationDuc Fehr — 2013
• Efficient RGB-D object categorization using cascaded ensembles of randomized decision treesUmar Asif, Mohammed Bennamoun, Ferdous Sohel — 2015
• New brooms sweep clean - an autonomous robotic cleaning assistant for professional office cleaningRichard Bormann, Joshua Hampp, Martin Hägele — 2015
• Object classification using dictionary learning and RGB-D covariance descriptorsWilliam J. Beksi, Nikolaos Papanikolopoulos — 2015
• Towards perception driven robot-assisted task-oriented therapyAddwiteey Chrungoo, Priyanka Shirsat, Michelle J. Johnson — 2015
• Review of Local Descriptor in RGB-D Object RecognitionEma Rachmawati, Iping Supriana Suwardi, Masayu Leylia Khodra — 2014
• Separating objects and clutter in indoor scenesSalman Khan, Xuming He, Mohammed Bannamoun — 2015
• Object-based RGBD image co-segmentation with mutex constraintHuazhu Fu, Dong Xu, Stephen Lin — 2015

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• Color-to-Depth Mappings as Depth Cues in Virtual RealityZhipeng Li, Yi‐Kai Cui, Tianze Zhou — 2022
• Qualitative depth from monoscopic cuesShuai Xu — 1992
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