Search Results - "sketch recognition"

UNDERSTANDING COMPLEX SKETCH RECOGNITION STRATEGIES FOR INTELLIGENT SKETCH-BASED DESIGN TOOLS

Authors: Baudoux, Gaëlle Goucher-Lambert, Kosa Co-Design Lab

Contributors: Baudoux, Gaëlle Goucher-Lambert, Kosa Co-Design Lab

Source: Proceedings of ASME 2024 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference - 36th International Conference on Design Theory and Methodology (DTM) (2024); IDETC-CIE International Design Engineering Technical Conferences & Computers and Information in Engineering Conference, Washington DC, United States [US], 25-28 août 2024

Subject Terms: Design Aid, Analogical reasoning, Sketch-based AI, Sketch recognition, Wizard of Oz, Engineering, computing & technology, Civil engineering, Architecture, Computer science, Ingénierie, informatique & technologie, Ingénierie civile, Sciences informatiques

Access URL: https://orbi.uliege.be/handle/2268/318801

Forensic sketch-to-photo transformation with improved Generative Adversarial Network (GAN)

Authors: Jangam, Bhargavi Bharatha, Ashwin Lavishetty, Tagore et al.

Subject Terms: Forensic Sketch Recognition, Image-to-Image Translation, Generative Adversarial Networks, GAN-based Image Generation, Face Reconstruction, Face Synthesis, Neural Networks for Image Generation

Relation: https://zenodo.org/communities/ijsrarchive/; https://zenodo.org/records/16910608; oai:zenodo.org:16910608; https://doi.org/10.5281/zenodo.16910608

Availability: https://doi.org/10.5281/zenodo.16910608
https://zenodo.org/records/16910608

Image‐based structural analysis for education purposes: A proof‐of‐concept study

Authors: Cheng Ning Loong Justin David Q. San Juan Chih‐Chen Chang

Source: Computer Applications in Engineering Education. 31:1200-1218

Subject Terms: selective search, sketch recognition, 0202 electrical engineering, electronic engineering, information engineering, engineering education, Convolutional neural network, structural analysis, 02 engineering and technology

A deep learning based approach to sketch recognition and model transformation for requirements elicitation and modelling

Authors: Olatunji, Oluwatoni Zhao, Liping Lau, Kung-Kiu

Contributors: Olatunji, Oluwatoni Zhao, Liping Lau, Kung-Kiu

Subject Terms: Sketch Recognition, Convolutional Neural Network, Sketch, Requirements Engineering, Requirements Elicitation, Model Transformation, Requirements Modelling, Domain Specific Language

Access URL: https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.833016

Transforming Sketches of UML Use Case Diagrams to Models

Authors: Mantas Razinskas Benas Miliunas Mantas Jurgelaitis et al.

Source: IEEE Access, Vol 12, Pp 185826-185837 (2024)

Subject Terms: Diagram digitization, image processing, requirements engineering, sketch recognition, UML, use case diagrams, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

File Description: electronic resource

Relation: https://ieeexplore.ieee.org/document/10786965/; https://doaj.org/toc/2169-3536

Access URL: https://doaj.org/article/492a335d9f584fd49a2f4b38d7b6bc4a

Four‐branch Siamese network based on sketch‐specific data augmentation for sketch recognition

Authors: Xiuying Wang Qiang Zhao Shoubiao Tan

Source: IET Image Processing, Vol 17, Iss 3, Pp 932-943 (2023)

Subject Terms: QA76.75-76.765, sketch recognition, Photography, 0202 electrical engineering, electronic engineering, information engineering, Computer software, 02 engineering and technology, deep convolutional neural networks, TR1-1050, data augmentation

Access URL: https://doaj.org/article/9d4391a18ce44ceea8f05e3a125200e7

How do People Train a Machine?: Strategies and (Mis)Understandings

Authors: Sanchez, Téo Caramiaux, Baptiste Françoise, Jules et al.

Contributors: Sanchez, Téo Caramiaux, Baptiste Françoise, Jules et al.

Source: Proceedings of the ACM on Human-Computer Interaction. 5:1-26

Subject Terms: Human-centered analysis, Interactive Machine Learning, 05 social sciences, 0202 electrical engineering, electronic engineering, information engineering, 0501 psychology and cognitive sciences, [INFO.INFO-LG] Computer Science [cs]/Machine Learning [cs.LG], 02 engineering and technology, [INFO.INFO-HC] Computer Science [cs]/Human-Computer Interaction [cs.HC], Human-AI Interaction, Sketch recognition

File Description: application/pdf

Access URL: https://hal.inria.fr/hal-03182950/file/V5cscw162-sanchezA.pdf
https://inria.hal.science/hal-03182950v1
https://doi.org/10.1145/3449236
https://inria.hal.science/hal-03182950v1/document
https://dblp.uni-trier.de/db/journals/pacmhci/pacmhci5.html#SanchezCFBM21
https://dl.acm.org/doi/pdf/10.1145/3449236
https://doi.org/10.1145/3449236

Multistage Spatio-Temporal Networks for Robust Sketch Recognition

Authors: Hanhui Li Xudong Jiang Boliang Guan et al.

Contributors: Hanhui Li Xudong Jiang Boliang Guan et al.

Source: IEEE Transactions on Image Processing. 31:2683-2694

Subject Terms: Spatio-Temporal Feature, Sketch Recognition, Electrical and electronic engineering [Engineering], 0202 electrical engineering, electronic engineering, information engineering, Neural Networks, Computer, 02 engineering and technology

Access URL: https://pubmed.ncbi.nlm.nih.gov/35320102
https://hdl.handle.net/10356/162131

Adversarial sketch-photo transformation for enhanced face recognition accuracy: a systematic analysis and evaluation

Authors: Raghavendra Mandara Shetty Kirimanjeshwara orcid:0000-0001-9489- Sarappadi Narasimha Prasad

Subject Terms: Adversarial learning, Deep learning, Face sketch recognition, Generative adversarial network hyperparameter, Structural similarity index

Relation: https://zenodo.org/records/10460311; oai:zenodo.org:10460311

Availability: https://doi.org/10.11591/ijece.v14i1.pp315-325
https://zenodo.org/records/10460311

Transforming sketches of UML use case diagrams to models /

Authors: Ražinskas, Mantas Miliūnas, Benas Jurgelaitis, Mantas et al.

Source: IEEE Access., Piscataway, NJ : IEEE, 2024, vol. 12, p. 185826-185837. ; ISSN 2169-3536

Subject Terms: diagram digitization, image processing, requirements engineering, sketch recognition, UML, use case diagrams, XMI

File Description: application/pdf

Relation: https://epubl.ktu.edu/object/elaba:214696962/214696962.pdf; https://vb.ktu.edu/KTU:ELABAPDB214696962&prefLang=en_US

Availability: https://vb.ktu.edu/KTU:ELABAPDB214696962&prefLang=en_US

Performance evaluation of generative adversarial networks for generating mugshot images from text description

Authors: Bahrum, Nur Nabilah Setumin, Samsul Othman, Nor Azlan et al.

Source: Bulletin of Electrical Engineering and Informatics; Vol 13, No 1: February 2024; 300-311 ; 2302-9285 ; 2089-3191 ; 10.11591/eei.v13i1

Subject Terms: Face recognition, Face sketch recognition, Face sketch synthesis, Forensic sketch, Generative adversarial network, Text to photo

File Description: application/pdf

Relation: https://beei.org/index.php/EEI/article/view/5895/3542; https://beei.org/index.php/EEI/article/view/5895

Availability: https://beei.org/index.php/EEI/article/view/5895
https://doi.org/10.11591/eei.v13i1.5895

Sketch-specific data augmentation for freehand sketch recognition

Authors: Zheng, Ying Yao, Hongxun Sun, Xiaoshuai et al.

Source: Neurocomputing. 456:528-539

Subject Terms: FOS: Computer and information sciences, Sketch-specific data augmentation, Sketch-based image retrieval, Computer Vision and Pattern Recognition (cs.CV), Computer Science - Computer Vision and Pattern Recognition, 0202 electrical engineering, electronic engineering, information engineering, Mean stroke reconstruction, 02 engineering and technology, Bezier pivot based deformation, Sketch recognition

File Description: application/pdf

Access URL: http://arxiv.org/pdf/1910.06038
http://arxiv.org/abs/1910.06038
https://arxiv.org/pdf/1910.06038.pdf
https://doi.org/10.1016/j.neucom.2020.05.124
https://www.sciencedirect.com/science/article/abs/pii/S0925231221001983
https://dblp.uni-trier.de/db/journals/corr/corr1910.html#abs-1910-06038
http://dblp.uni-trier.de/db/journals/corr/corr1910.html#abs-1910-06038
https://arxiv.org/abs/1910.06038

Entropy information‐based heterogeneous deep selective fused features using deep convolutional neural network for sketch recognition

Authors: Shaukat Hayat Kun She Sara Shahzad et al.

Source: IET Computer Vision, Vol 15, Iss 3, Pp 165-180 (2021)

Subject Terms: Artificial intelligence, Support vector machine, Computer applications to medicine. Medical informatics, R858-859.7, Convolutional neural network, 02 engineering and technology, Pattern recognition (psychology), Feature vector, Gesture recognition, QA76.75-76.765, Gesture, Deep Learning, Image Feature Retrieval and Recognition Techniques, 0202 electrical engineering, electronic engineering, information engineering, Sketch, Computer software, Face Recognition and Analysis Techniques, Sketch recognition, Object Recognition, Feature Learning, Interest Point Detectors, Discriminative model, Deep learning, Computer science, Algorithm, Computer Science, Physical Sciences, Computational Modeling of Visual Saliency Detection, Feature extraction, Computer Vision and Pattern Recognition, Classifier (UML), Feature Matching

Access URL: https://ietresearch.onlinelibrary.wiley.com/doi/pdfdirect/10.1049/cvi2.12019
https://doaj.org/article/dc97188400cb4b0fb280fc35d6961a00
https://ietresearch.onlinelibrary.wiley.com/doi/full/10.1049/cvi2.12019

A Novel Sketch Recognition Model based on Convolutional Neural Networks

Authors: Kabakus, Abdullah Talha Düzce University Institutional Repository

Contributors: Kabakus, Abdullah Talha Düzce University Institutional Repository

Source: 2020 International Congress on Human-Computer Interaction, Optimization and Robotic Applications (HORA). :1-6

Subject Terms: image recognition, sketch recognition, deep neural network, 0202 electrical engineering, electronic engineering, information engineering, convolutional neural network, deep learning, 02 engineering and technology

File Description: application/pdf

Access URL: https://ieeexplore.ieee.org/document/9152911
https://hdl.handle.net/20.500.12684/10197

IntuiSketch, a pen-based tutoring system for anatomy sketch learning

Authors: Barchouch, Islam Krichen, Omar Anquetil, Eric et al.

Contributors: Barchouch, Islam Krichen, Omar Anquetil, Eric et al.

Subject Terms: [INFO.INFO-AI] Computer Science [cs]/Artificial Intelligence [cs.AI], Generative drawing, Constraintbased tutors, Online sketch recognition, Bi-dimensional grammar, [INFO] Computer Science [cs], Digital learning

File Description: application/pdf

Access URL: https://inria.hal.science/hal-04195461v1

Comments on 'Domain Alignment Embedding Network for Sketch Face Recognition'

Authors: Christian Galea

Source: IEEE Access, Vol 10, Pp 71030-71034 (2022)

Subject Terms: Databases, deep learning, evaluation methodology, face photo-sketch recognition, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

File Description: electronic resource

Relation: https://ieeexplore.ieee.org/document/9815592/; https://doaj.org/toc/2169-3536

Access URL: https://doaj.org/article/61e4010b23e94b3e8afe3a973657f5c0

Context awareness based Sketch-DeepNet architecture for hand-drawn sketches classification and recognition in AIoT

Authors: Safdar Ali Nouraiz Aslam DoHyeun Kim et al.

Source: PeerJ Computer Science, Vol 9, p e1186 (2023)

Subject Terms: Convolutional neural networks (CNNs), Deep neural networks (DNNs), Sketch recognition, TU-Berlin, Electronic computers. Computer science, QA75.5-76.95

File Description: electronic resource

Relation: https://peerj.com/articles/cs-1186.pdf; https://peerj.com/articles/cs-1186/; https://doaj.org/toc/2376-5992

Access URL: https://doaj.org/article/a8c5694291c54b79a48987d70cd11f82

Improving Face Sketch Recognition via Adversarial Sketch-Photo Transformation

Authors: Yu, Shikang Han, Hu Shan, Shiguang et al.

Contributors: Yu, Shikang Han, Hu Shan, Shiguang et al.

Source: 2019 14th IEEE International Conference on Automatic Face & Gesture Recognition (FG 2019). :1-8

Subject Terms: Generative adversarial networks, [INFO.INFO-CV] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV], [INFO.INFO-TI] Computer Science [cs]/Image Processing [eess.IV], 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, 16. Peace & justice, Heterogeneous face recognition, Face sketch recognition

File Description: application/pdf

Access URL: https://hal.inria.fr/hal-02381115/file/Improving%20Face%20Sketch%20Recognition%20via%20Adversarial%20Sketch-Photo%20Transformation-1.pdf
https://inria.hal.science/hal-02381115v1
https://hal.inria.fr/hal-02381115
https://dblp.uni-trier.de/db/conf/fgr/fg2019.html#YuHSDC19
https://ieeexplore.ieee.org/document/8756563/
https://hal.inria.fr/hal-02381115/document
https://hal.univ-cotedazur.fr/hal-02381115v1

Local Deep Features for Composite Face Sketch Recognition

Authors: Mendez-Vazquez H. Becerra-Riera F. Morales-Gonzalez A. et al.

Source: 2019 7th International Workshop on Biometrics and Forensics (IWBF). :1-6

Subject Terms: Composite sketches, face sketch recognition, Local deep learning, 4. Education, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, 16. Peace & justice

Access URL: https://dblp.uni-trier.de/db/conf/iwbf/iwbf2019.html#Mendez-VazquezB19
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8739212
http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=8735658
https://doi.org/10.1109/IWBF.2019.8739212
https://hdl.handle.net/11388/228528

Graph-Based Locality-Sensitive Circuit Sketch Recognizer

Authors: Songhua Liu Linfeng Lee Fukang Jiu et al.

Source: IEEE Access, Vol 8, Pp 204183-204193 (2020)

Subject Terms: 0202 electrical engineering, electronic engineering, information engineering, Electrical engineering. Electronics. Nuclear engineering, 02 engineering and technology, graph, Pen interaction, circuit sketch recognition, TK1-9971

Access URL: https://ieeexplore.ieee.org/ielx7/6287639/6514899/09253008.pdf
https://doaj.org/article/c6b2948dddf44f80b4779134bc4e844f
https://ieeexplore.ieee.org/document/9253008/
https://dblp.uni-trier.de/db/journals/access/access8.html#LiuLJF20