المؤلفون: Fawad Salam Khan, Mohd Norzali Haji Mohd, Dur Muhammad Soomro, Susama Bagchi, M. Danial Khan

المصدر: IEEE Access, Vol 9, Pp 131614-131624 (2021)

مصطلحات موضوعية: 3D hand gestures, grass-hopper optimization, segmentation, depth images, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

وصف الملف: electronic resource

العلاقة: https://ieeexploreTest.ieee.org/document/9546760/; https://doaj.org/toc/2169-3536Test

الوصول الحر: https://doaj.org/article/67bafa699ff64693a3215f8dfb1a7361Test

المؤلفون: Shaowei Liu, Guijin Wang, Pengwei Xie, Cairong Zhang

المصدر: IEEE Access, Vol 8, Pp 53072-53081 (2020)

مصطلحات موضوعية: Hand pose estimation, convolutional neural network, depth images, heatmap regression, human computer interaction, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

وصف الملف: electronic resource

العلاقة: https://ieeexploreTest.ieee.org/document/9028217/; https://doaj.org/toc/2169-3536Test

الوصول الحر: https://doaj.org/article/6e68f11fb6a54e5ba8d8a93cbf2af288Test

المؤلفون: Xinyu Wang, Jie Cao, Qun Hao, Kaiyu Zhang, Zihan Wang, Saad Rizvi

المصدر: IEEE Photonics Journal, Vol 11, Iss 1, Pp 1-11 (2019)

مصطلحات موضوعية: Depth images, edge detection, low resolution, LBP, Applied optics. Photonics, TA1501-1820, Optics. Light, QC350-467

وصف الملف: electronic resource

العلاقة: https://ieeexploreTest.ieee.org/document/8556465/; https://doaj.org/toc/1943-0655Test

الوصول الحر: https://doaj.org/article/55df292625da4b71820cbfaff63b69efTest

المؤلفون: Susama Bagchi, Mohd Norzali Haji Mohd, M. Danial Khan, Dur Muhammad Soomro, Fawad Khan

المصدر: IEEE Access, Vol 9, Pp 131614-131624 (2021)

مصطلحات موضوعية: General Computer Science, Computer science, business.industry, Deep learning, Feature extraction, segmentation, General Engineering, ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION, Robotics, grass-hopper optimization, 3D hand gestures, depth images, TK1-9971, Gesture recognition, RGB color model, General Materials Science, Segmentation, Computer vision, Artificial intelligence, Electrical engineering. Electronics. Nuclear engineering, business, Pose, Gesture

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::21655942221daf5fd16f51c3d2be6d2cTest
https://ieeexploreTest.ieee.org/document/9546760/

المؤلفون: Guijin Wang, Shaowei Liu, Cairong Zhang, Pengwei Xie

المصدر: IEEE Access, Vol 8, Pp 53072-53081 (2020)

مصطلحات موضوعية: General Computer Science, Computer science, business.industry, Feature extraction, General Engineering, convolutional neural network, Pattern recognition, Frame rate, Image (mathematics), depth images, Hand pose estimation, heatmap regression, Margin (machine learning), human computer interaction, General Materials Science, Artificial intelligence, lcsh:Electrical engineering. Electronics. Nuclear engineering, business, Joint (audio engineering), Pose, lcsh:TK1-9971

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4a03e62d964cab5d000d4dbeacbff6b1Test
https://ieeexploreTest.ieee.org/document/9028217/

المؤلفون: Kaiyu Zhang, Qun Hao, Wang Xinyu, Saad Rizvi, Zihan Wang, Jie Cao

المصدر: IEEE Photonics Journal, Vol 11, Iss 1, Pp 1-11 (2019)

مصطلحات موضوعية: edge detection, lcsh:Applied optics. Photonics, Depth images, Computer science, business.industry, Local binary patterns, Detector, ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION, lcsh:TA1501-1820, Edge (geometry), Atomic and Molecular Physics, and Optics, Edge detection, Edge maps, Histogram, LBP, lcsh:QC350-467, Computer vision, Artificial intelligence, Electrical and Electronic Engineering, Photonics, business, Image resolution, lcsh:Optics. Light, low resolution

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ff74e6c2293f3c9a22b14b9b3e07322aTest
https://ieeexploreTest.ieee.org/document/8556465/

المؤلفون: J. B. Cardia Neto, A. N. Marana, C. Ferrari, S. Berretti, A. Del Bimbo

المساهمون: Cardia Neto, J. B., Marana, A. N., Ferrari, C., Berretti, S., Del Bimbo, A.

مصطلحات موضوعية: 3DLBP, convolution neural network, cnn, depth images

وصف الملف: STAMPA

العلاقة: info:eu-repo/semantics/altIdentifier/wos/WOS:000542138900091; ispartofbook:IAPR International Conference on Biometrics; IAPR International Conference on Biometrics; firstpage:1; lastpage:1; numberofpages:8; http://hdl.handle.net/11381/2900766Test; info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-85081063486

الإتاحة: http://hdl.handle.net/11381/2900766Test

المؤلفون: Hakaru Tamukoh, Yuma Yoshimoto

المصدر: ISPACS

مصطلحات موضوعية: Object Recognition, 0209 industrial biotechnology, Service (systems architecture), Service Robots, business.industry, Computer science, Interface (computing), Deep learning, Cognitive neuroscience of visual object recognition, ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION, CNNs, 02 engineering and technology, DUAL (cognitive architecture), Convolutional neural network, 020901 industrial engineering & automation, Deep Learning, 0202 electrical engineering, electronic engineering, information engineering, Robot, RGB color model, 020201 artificial intelligence & image processing, Computer vision, Artificial intelligence, business, Depth Images

وصف الملف: application/pdf

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8f173a2c04d2c1bcb9265650f004bb43Test
https://kyutech.repo.nii.ac.jp/records/6152Test

المؤلفون: Xuan Son Nguyen, Thanh Phuong Nguyen, François Charpillet

المساهمون: Lifelong Autonomy and interaction skills for Robots in a Sensing ENvironment (LARSEN), Inria Nancy - Grand Est, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Department of Complex Systems, Artificial Intelligence & Robotics (LORIA - AIS), Laboratoire Lorrain de Recherche en Informatique et ses Applications (LORIA), Centre National de la Recherche Scientifique (CNRS)-Université de Lorraine (UL)-Institut National de Recherche en Informatique et en Automatique (Inria)-Centre National de la Recherche Scientifique (CNRS)-Université de Lorraine (UL)-Institut National de Recherche en Informatique et en Automatique (Inria)-Laboratoire Lorrain de Recherche en Informatique et ses Applications (LORIA), Centre National de la Recherche Scientifique (CNRS)-Université de Lorraine (UL)-Institut National de Recherche en Informatique et en Automatique (Inria)-Centre National de la Recherche Scientifique (CNRS)-Université de Lorraine (UL), Université de Toulon (UTLN), Institut National de Recherche en Informatique et en Automatique (Inria)-Université de Lorraine (UL)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche en Informatique et en Automatique (Inria)-Université de Lorraine (UL)-Centre National de la Recherche Scientifique (CNRS)-Laboratoire Lorrain de Recherche en Informatique et ses Applications (LORIA), Institut National de Recherche en Informatique et en Automatique (Inria)-Université de Lorraine (UL)-Centre National de la Recherche Scientifique (CNRS)-Université de Lorraine (UL)-Centre National de la Recherche Scientifique (CNRS)

المصدر: AVSS
13th International Conference on Advanced Video and Signal-Based Surveillance
13th International Conference on Advanced Video and Signal-Based Surveillance, Aug 2016, Colorado Springs, United States

مصطلحات موضوعية: Depth images, business.industry, Computer science, Feature extraction, ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION, 020206 networking & telecommunications, Pattern recognition, 02 engineering and technology, [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI], Visualization, Activity recognition, ComputingMethodologies_PATTERNRECOGNITION, Spatial reference system, Computer Science::Computer Vision and Pattern Recognition, Histogram, 0202 electrical engineering, electronic engineering, information engineering, Partial derivative, 020201 artificial intelligence & image processing, Computer vision, Artificial intelligence, business, Hidden Markov model, Neural coding

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::573956b0df9c6e2a9ea453540969f49bTest
https://doi.org/10.1109/avss.2016.7738053Test

المؤلفون: Hedi Tabia, Hamid Laga, Philippe-Henri Gosselin, David Picard

المساهمون: Gosselin, Philippe-Henri, Equipes Traitement de l'Information et Systèmes (ETIS - UMR 8051), Ecole Nationale Supérieure de l'Electronique et de ses Applications (ENSEA)-Centre National de la Recherche Scientifique (CNRS)-CY Cergy Paris Université (CY), Multimedia Indexation and Data Integration (MIDI), Ecole Nationale Supérieure de l'Electronique et de ses Applications (ENSEA)-Centre National de la Recherche Scientifique (CNRS)-CY Cergy Paris Université (CY)-Ecole Nationale Supérieure de l'Electronique et de ses Applications (ENSEA)-Centre National de la Recherche Scientifique (CNRS)-CY Cergy Paris Université (CY), Australian Centre of Plant Functional Genonomics (ACPFG), Grains Research & Devlopement Corporation-Government of South Australia-Australian Government-Australian Research Council [Canberra] (ARC), Multimedia content-based indexing (TEXMEX), Institut de Recherche en Informatique et Systèmes Aléatoires (IRISA), Université de Rennes (UR)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Institut National de Recherche en Informatique et en Automatique (Inria)-Centre National de la Recherche Scientifique (CNRS)-Université de Rennes (UR)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Institut National de Recherche en Informatique et en Automatique (Inria)-Centre National de la Recherche Scientifique (CNRS)-Inria Rennes – Bretagne Atlantique, Institut National de Recherche en Informatique et en Automatique (Inria), Tabia, Hedi, Picard, David, Laga, Hamid, 2013 IEEE International Conference on Image Processing Melbourne, Australia 15-18 September 2013, Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées (INSA)-Institut National de Recherche en Informatique et en Automatique (Inria)-Centre National de la Recherche Scientifique (CNRS)-Université de Rennes 1 (UR1), Institut National des Sciences Appliquées (INSA)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées (INSA)-Institut National de Recherche en Informatique et en Automatique (Inria)-Centre National de la Recherche Scientifique (CNRS)-Inria Rennes – Bretagne Atlantique

المصدر: ICIP
IEEE International Conference on Image Processing
IEEE International Conference on Image Processing, Sep 2013, Melbourne, Australia. pp.2694-2698

مصطلحات موضوعية: business.industry, Feature extraction, [INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV], 020207 software engineering, Pattern recognition, 3d model, Dot product, 02 engineering and technology, bag of features, depth images, [INFO.INFO-CV] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV], Tensor product, Discriminative model, 3D shape retrieval, 0202 electrical engineering, electronic engineering, information engineering, 020201 artificial intelligence & image processing, Artificial intelligence, Invariant (mathematics), business, Pose, Image retrieval, Mathematics

وصف الملف: application/pdf

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::70174bb0d4df5e5ad5e8eff7b8437783Test
https://doi.org/10.1109/icip.2013.6738555Test