Sketch recognition: Difference between revisions
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Research in sketch recognition lies at the crossroads of [[artificial intelligence]] and [[human–computer interaction]]. Recognition algorithms usually are [[gesture]]-based, appearance-based, [[geometry]]-based, or a combination thereof. |
Research in sketch recognition lies at the crossroads of [[artificial intelligence]] and [[human–computer interaction]]. Recognition algorithms usually are [[gesture]]-based, appearance-based, [[geometry]]-based, or a combination thereof. |
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Advances in the field of sketch recognition would have significant application specifically in the fields of architecture, videogames and animation, construction, and fashion design, among others.<ref>{{Cite web |title=Papers with Code - Sketch Recognition |url=https://paperswithcode.com/task/sketch-recognition/codeless |access-date=2024-01-10 |website=paperswithcode.com |language=en}}</ref><ref>{{Cite web |title=Sketch Recognition |url=https://www.microsoft.com/en-us/research/project/sketch-recognition/ |access-date=2024-01-10 |website=Microsoft Research |language=en-US}}</ref><ref>{{Cite journal |last=Zhang |first=Lei |date=2021-08-21 |title=Hand-drawn sketch recognition with a double-channel convolutional neural network |url=https://doi.org/10.1186/s13634-021-00752-4 |journal=EURASIP Journal on Advances in Signal Processing |volume=2021 |issue=1 |pages=73 |doi=10.1186/s13634-021-00752-4 |issn=1687-6180}}</ref> |
Advances in the field of sketch recognition would have significant application specifically in the fields of architecture, videogames and animation, construction, [[Forensic science|forensics]],<ref>{{Cite web |last=IJRASET |title=Forensic Face Sketch Construction and Recognition |url=https://www.ijraset.com/research-paper/forensic-face-sketch-construction-and-recognition |access-date=2024-01-10 |website=www.ijraset.com |language=en}}</ref> fashion design,<ref>{{Cite journal |last=Lei |first=Haopeng |last2=Chen |first2=Simin |last3=Wang |first3=Mingwen |last4=He |first4=Xiangjian |last5=Jia |first5=Wenjing |last6=Li |first6=Sibo |date=2021-05-25 |title=A New Algorithm for Sketch-Based Fashion Image Retrieval Based on Cross-Domain Transformation |url=https://www.hindawi.com/journals/wcmc/2021/5577735/ |journal=Wireless Communications and Mobile Computing |language=en |volume=2021 |pages=e5577735 |doi=10.1155/2021/5577735 |issn=1530-8669}}</ref> and academia, among others.<ref>{{Cite web |title=Papers with Code - Sketch Recognition |url=https://paperswithcode.com/task/sketch-recognition/codeless |access-date=2024-01-10 |website=paperswithcode.com |language=en}}</ref><ref>{{Cite web |title=Sketch Recognition |url=https://www.microsoft.com/en-us/research/project/sketch-recognition/ |access-date=2024-01-10 |website=Microsoft Research |language=en-US}}</ref><ref>{{Cite journal |last=Zhang |first=Lei |date=2021-08-21 |title=Hand-drawn sketch recognition with a double-channel convolutional neural network |url=https://doi.org/10.1186/s13634-021-00752-4 |journal=EURASIP Journal on Advances in Signal Processing |volume=2021 |issue=1 |pages=73 |doi=10.1186/s13634-021-00752-4 |issn=1687-6180}}</ref><ref>{{Cite journal |last=Korkut |first=Elif Hilal |last2=Surer |first2=Elif |date=2021 |editor-last=Baalsrud Hauge |editor-first=Jannicke |editor2-last=C. S. Cardoso |editor2-first=Jorge |editor3-last=Roque |editor3-first=Licínio |editor4-last=Gonzalez-Calero |editor4-first=Pedro A. |title=Sketch Recognition for Interactive Game Experiences Using Neural Networks |url=https://link.springer.com/chapter/10.1007/978-3-030-89394-1_31 |journal=Entertainment Computing – ICEC 2021 |series=Lecture Notes in Computer Science |language=en |location=Cham |publisher=Springer International Publishing |pages=393–401 |doi=10.1007/978-3-030-89394-1_31 |isbn=978-3-030-89394-1}}</ref> |
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Revision as of 07:34, 10 January 2024
Sketch recognition describes the process by which a computer, or artificial intelligence can interpret hand-drawn sketches created by a human being, or other machine.[1] Sketch recognition is a key frontier in the field of artificial intelligence and human-computer interaction, similar to natural language processing or conversational artificial intelligence [2][3]
Uses and Applications
Research in sketch recognition lies at the crossroads of artificial intelligence and human–computer interaction. Recognition algorithms usually are gesture-based, appearance-based, geometry-based, or a combination thereof.
Advances in the field of sketch recognition would have significant application specifically in the fields of architecture, videogames and animation, construction, forensics,[4] fashion design,[5] and academia, among others.[6][7][8][9]
See also
- Gesture recognition
- Handwriting recognition
- Human–computer interaction
- Multi-touch gestures
- Pen computing
- Sketch-based modeling
- Tablet computer
References
- ^ Hammond, T. and Davis, R. (2005), "LADDER, a sketching language for user interface developers", Computers & Graphics, 2005, 29(4), pp. 518-532.
- ^ Hammond, T., Logsdon, D., Peschel, J., Johnston, J., Taele, P., Wolin, A., and Paulson, B. A sketch recognition interface that recognizes hundreds of shapes in course-of-action diagrams. In Proceedings of the 28th of the international conference extended abstracts on Human factors in computing systems (CHI EA '10), 2010, pp. 4213-4218.
- ^ Jorge, J. and Samavati, F. (2011), Sketch-Based Interfaces and Modeling, Springer
- ^ IJRASET. "Forensic Face Sketch Construction and Recognition". www.ijraset.com. Retrieved 2024-01-10.
- ^ Lei, Haopeng; Chen, Simin; Wang, Mingwen; He, Xiangjian; Jia, Wenjing; Li, Sibo (2021-05-25). "A New Algorithm for Sketch-Based Fashion Image Retrieval Based on Cross-Domain Transformation". Wireless Communications and Mobile Computing. 2021: e5577735. doi:10.1155/2021/5577735. ISSN 1530-8669.
{{cite journal}}: CS1 maint: unflagged free DOI (link) - ^ "Papers with Code - Sketch Recognition". paperswithcode.com. Retrieved 2024-01-10.
- ^ "Sketch Recognition". Microsoft Research. Retrieved 2024-01-10.
- ^ Zhang, Lei (2021-08-21). "Hand-drawn sketch recognition with a double-channel convolutional neural network". EURASIP Journal on Advances in Signal Processing. 2021 (1): 73. doi:10.1186/s13634-021-00752-4. ISSN 1687-6180.
{{cite journal}}: CS1 maint: unflagged free DOI (link) - ^ Korkut, Elif Hilal; Surer, Elif (2021). Baalsrud Hauge, Jannicke; C. S. Cardoso, Jorge; Roque, Licínio; Gonzalez-Calero, Pedro A. (eds.). "Sketch Recognition for Interactive Game Experiences Using Neural Networks". Entertainment Computing – ICEC 2021. Lecture Notes in Computer Science. Cham: Springer International Publishing: 393–401. doi:10.1007/978-3-030-89394-1_31. ISBN 978-3-030-89394-1.