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Journal articles on the topic 'Hand-drawn'

To see the other types of publications on this topic, follow the link: Hand-drawn.

Author: Grafiati

Published: 4 June 2021

Last updated: 5 February 2022

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1

Swensen, Cole. "The Hand, Drawn." Chicago Review 47, no. 2 (2001): 45. http://dx.doi.org/10.2307/25304743.

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2

Xing, Jun, Li-Yi Wei, Takaaki Shiratori, and Koji Yatani. "Autocomplete hand-drawn animations." ACM Transactions on Graphics 34, no. 6 (November 4, 2015): 1–11. http://dx.doi.org/10.1145/2816795.2818079.

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3

Fitzgerald, Richard J. "Hand-drawn organic photovoltaics." Physics Today 71, no. 1 (January 2018): 21. http://dx.doi.org/10.1063/pt.3.3810.

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4

Dambha, Hajira. "Quentin Blake: Drawn By Hand." British Journal of General Practice 63, no. 609 (April 2013): 209.2–209. http://dx.doi.org/10.3399/bjgp13x665378.

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5

Rabbani, Mahdi, Reza Khoshkangini, H. S. Nagendraswamy, and Mauro Conti. "Hand Drawn Optical Circuit Recognition." Procedia Computer Science 84 (2016): 41–48. http://dx.doi.org/10.1016/j.procs.2016.04.064.

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6

Hollands, Charlotte. "A Hand-Drawn Conference Review." American Anthropologist 120, no. 2 (June 2018): 348–52. http://dx.doi.org/10.1111/aman.13039.

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7

Aaltonen, Tarja, and Sanna Raudaskoski. "Storyworld evoked by hand-drawn maps." Social Semiotics 21, no. 2 (April 2011): 317–36. http://dx.doi.org/10.1080/10350330.2011.548652.

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8

CERRI, ANDREA, MASSIMO FERRI, PATRIZIO FROSINI, and DANIELA GIORGI. "KEYPICS: FREE–HAND DRAWN ICONIC KEYWORDS." International Journal of Shape Modeling 13, no. 02 (December 2007): 125–37. http://dx.doi.org/10.1142/s0218654307001020.

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9

Sam Lemonick. "Translating hand-drawn molecules for computers." C&EN Global Enterprise 99, no. 9 (March 15, 2021): 9. http://dx.doi.org/10.1021/cen-09909-scicon8.

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10

Dewangan, Akanksha. "KNN based Hand Drawn Electrical Circuit Recognition." International Journal for Research in Applied Science and Engineering Technology 6, no. 6 (June 30, 2018): 1111–15. http://dx.doi.org/10.22214/ijraset.2018.6164.

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11

Min-Wen Chao, Chao-Hung Lin, J. Assa, and Tong-Yee Lee. "Human Motion Retrieval from Hand-Drawn Sketch." IEEE Transactions on Visualization and Computer Graphics 18, no. 5 (May 2012): 729–40. http://dx.doi.org/10.1109/tvcg.2011.53.

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12

Tang, Tan, Sadia Rubab, Jiewen Lai, Weiwei Cui, Lingyun Yu, and Yingcai Wu. "iStoryline: Effective Convergence to Hand-drawn Storylines." IEEE Transactions on Visualization and Computer Graphics 25, no. 1 (January 2019): 769–78. http://dx.doi.org/10.1109/tvcg.2018.2864899.

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13

Jain, Eakta, Yaser Sheikh, Moshe Mahler, and Jessica Hodgins. "Three-dimensional proxies for hand-drawn characters." ACM Transactions on Graphics 31, no. 1 (January 2012): 1–16. http://dx.doi.org/10.1145/2077341.2077349.

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14

AlMeraj, Zainab, Brian Wyvill, Tobias Isenberg, Amy A. Gooch, and Richard Guy. "Automatically mimicking unique hand-drawn pencil lines." Computers & Graphics 33, no. 4 (August 2009): 496–508. http://dx.doi.org/10.1016/j.cag.2009.04.004.

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15

Donati, Luca, Simone Cesano, and Andrea Prati. "A complete hand-drawn sketch vectorization framework." Multimedia Tools and Applications 78, no. 14 (February 7, 2019): 19083–113. http://dx.doi.org/10.1007/s11042-019-7311-3.

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16

Chen, Bing-Yu, Yutaka Ono, and Tomoyuki Nishita. "Character animation creation using hand-drawn sketches." Visual Computer 21, no. 8-10 (August 31, 2005): 551–58. http://dx.doi.org/10.1007/s00371-005-0333-z.

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17

Altes, Kristina B. "Feature proportion accuracy of hand-drawn facial approximation." Science & Justice 56, no. 6 (December 2016): 443–52. http://dx.doi.org/10.1016/j.scijus.2016.07.004.

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18

Sýkora, Daniel, John Dingliana, and Steven Collins. "LazyBrush: Flexible Painting Tool for Hand-drawn Cartoons." Computer Graphics Forum 28, no. 2 (April 2009): 599–608. http://dx.doi.org/10.1111/j.1467-8659.2009.01400.x.

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19

Jiang, Yingying, Feng Tian, Xiaolong (Luke) Zhang, Guozhong Dai, and Hongan Wang. "Understanding, Manipulating and Searching Hand-Drawn Concept Maps." ACM Transactions on Intelligent Systems and Technology 3, no. 1 (October 2011): 1–21. http://dx.doi.org/10.1145/2036264.2036275.

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20

Xu, Jun, Xiang Li, Yangchun Ren, and Weidong Geng. "Performance-driven animation of hand-drawn cartoon faces." Computer Animation and Virtual Worlds 22, no. 5 (March 14, 2011): 471–83. http://dx.doi.org/10.1002/cav.372.

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21

Andres, Eric, Lydie Richaume, and Gaelle Largeteau-Skapin. "Digital Surface of Revolution with Hand-Drawn Generatrix." Journal of Mathematical Imaging and Vision 59, no. 1 (February 20, 2017): 40–51. http://dx.doi.org/10.1007/s10851-017-0708-6.

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22

IKEHARA, Yosuke, Ichiro KITAYAMA, Masato KITANO, and Takashi YAMANAKA. "Hand grasp pattern for carrying a hand-drawn cart used in a disaster." Proceedings of Mechanical Engineering Congress, Japan 2016 (2016): J0200203. http://dx.doi.org/10.1299/jsmemecj.2016.j0200203.

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23

Woodhead, Andrea, Tara Sutherland, and Jeffrey Church. "Structural Analysis of Hand Drawn Bumblebee Bombus terrestris Silk." International Journal of Molecular Sciences 17, no. 7 (July 20, 2016): 1170. http://dx.doi.org/10.3390/ijms17071170.

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24

Gu, Yi, Jinhui Yu, and Ren Peng. "Synthesis of cartoon fire based on hand-drawn samples." International Journal of Computer Applications in Technology 38, no. 1/2/3 (2010): 157. http://dx.doi.org/10.1504/ijcat.2010.034151.

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25

Pan, Tianhong, Mian Khuram Ahsan, and Haiyan Wang. "Hand-drawn electronic component recognition using deep learning algorithm." International Journal of Computer Applications in Technology 62, no. 1 (2020): 13. http://dx.doi.org/10.1504/ijcat.2020.10025557.

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26

Wang, Haiyan, Tianhong Pan, and Mian Khuram Ahsan. "Hand-drawn electronic component recognition using deep learning algorithm." International Journal of Computer Applications in Technology 62, no. 1 (2020): 13. http://dx.doi.org/10.1504/ijcat.2020.103905.

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27

Zhu, Zhiyuan, Hongze Zhang, Kequan Xia, and Zhiwei Xu. "Hand-drawn variable resistor and strain sensor on paper." Microelectronic Engineering 191 (May 2018): 72–76. http://dx.doi.org/10.1016/j.mee.2018.01.035.

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28

Wolf, Catherine G., and Palmer Morrel-Samuels. "The use of hand-drawn gestures for text editing." International Journal of Man-Machine Studies 27, no. 1 (July 1987): 91–102. http://dx.doi.org/10.1016/s0020-7373(87)80045-7.

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29

D., Mayuri, and Madhuri S. "Hand-drawn Digital Logic Circuit Component Recognition using SVM." International Journal of Computer Applications 143, no. 3 (June 17, 2016): 24–28. http://dx.doi.org/10.5120/ijca2016910058.

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30

Duke, T. "Drawing Light-fields: Hand-drawn Approaches to Abrasion Holography." Journal of Physics: Conference Series 415 (February 22, 2013): 012033. http://dx.doi.org/10.1088/1742-6596/415/1/012033.

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31

Rose, Andrew T. "Graphical Communication Using Hand-Drawn Sketches in Civil Engineering." Journal of Professional Issues in Engineering Education and Practice 131, no. 4 (October 2005): 238–47. http://dx.doi.org/10.1061/(asce)1052-3928(2005)131:4(238).

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32

Kitazawa, Yutaka. "The accountability of hand-drawn maps and rendering practices." Human Studies 22, no. 2-4 (October 1999): 299–314. http://dx.doi.org/10.1023/a:1005448803455.

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33

Oberteuffer, John A. "Processing handwritten and hand-drawn input and speech input." Journal of the Acoustical Society of America 114, no. 1 (2003): 33. http://dx.doi.org/10.1121/1.1601098.

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34

Lee, WeeSan, Levent Burak Kara, and Thomas F. Stahovich. "An efficient graph-based recognizer for hand-drawn symbols." Computers & Graphics 31, no. 4 (August 2007): 554–67. http://dx.doi.org/10.1016/j.cag.2007.04.007.

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35

Shen, Ruru, Haowen Yan, Xiaomin Lu, and Qinke Sun. "Fuzzy Expression of Hand-drawn Paths in We-Map Environment." Abstracts of the ICA 1 (July 15, 2019): 1–2. http://dx.doi.org/10.5194/ica-abs-1-330-2019.

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<p><strong>Abstract.</strong> We-Map is a “grassroots” map for the general public and the hand-drawn paths function makes it a kind of “Personal Media” with strong interactivity. The hand-drawn paths are manually drawn by the “grassroots” public and intuitively show the paths to the destination. The fuzzy expression of the hand-drawn paths has low requirements on direction, distance and topological relationship. Compared with traditional navigation with high precision requirements, its expression is more easily accepted by the “grassroots”.</p><p>In real life, the public's perception of geographic navigation is biased towards fuzziness and templating. Taking the location of the China National Stadium (Bird's Nest) as an example, the “grassroots” public is usually expressed near the Beijing Olympic Park or by subway line 15 or subway line 8 at the exit of the Olympic Park Station D. This expression is different from the traditional Accurate and standardized navigation. Therefore, this paper combines a new generation of We-Map concept with map as the information carrier, expresses the recommended path from the departure point to the destination in the form of hand-drawn maps fuzzification and template, and explores and designs a model suitable for mobile devices.</p><p>The basic ideas are as follows: (1) Determining the place of departure and destination. (2) The expression design of the hand-drawn path is fuzzy: firstly, the projection and calculation of the fitting path, and then extracting the multi-level feature points of the facilities around the road by using the feature points extraction principle. Finally, corner calculations and template nesting at the corners. (3) The definition of fuzzification is as follows: “starting from the starting point, follow the XX road, go straight to the XX place near XX, turn right/left to XX road, and to the XX place near XX, reach the end point”. The template can be expressed as: “starting point, along the line, turn, end point”. (4) Matching multi-user and multi-map versions to hand-drawn maps with fuzzified expression. Take a case from this model: departure at the entrance of Feitian Hotel, Lanzhou City, Gansu Province, and destination at Cold and Arid Regions Environmental and Engineering Research Institute, Chinese Academy of Sciences.</p>

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36

Deufemia, Vincenzo, and Michele Risi. "Multi-Domain Recognition of Hand-Drawn Diagrams Using Hierarchical Parsing." Multimodal Technologies and Interaction 4, no. 3 (August 14, 2020): 52. http://dx.doi.org/10.3390/mti4030052.

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This paper presents an approach for the recognition of multi-domain hand-drawn diagrams, which exploits Sketch Grammars (SkGs) to model the symbols’ shape and the abstract syntax of diagrammatic notations. The recognition systems automatically generated from SkGs process the input sketches according to the following phases: the user’ strokes are first segmented and interpreted as primitive shapes, then by exploiting the domain context they are clustered into symbols of the domain and, finally, an interpretation of whole diagram is given. The main contribution of this paper is an efficient model of parsing suitable for both interactive and non-interactive sketch-based interfaces, configurable to different domains, and able to exploit contextual information for improving recognition accuracy and solving interpretation ambiguities. The proposed approach was evaluated in the domain of UML class diagrams obtaining good results in terms of recognition accuracy and usability.

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37

Albert, F., and N. Aleixos. "Improvements to the TCVD method to segment hand-drawn sketches." Pattern Recognition 63 (March 2017): 416–26. http://dx.doi.org/10.1016/j.patcog.2016.10.024.

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38

Choksi, Bhaumik, Ajay Venkitaraman, and Swati Mali. "Finding Best Fit for Hand-Drawn Curves using Polynomial Regression." International Journal of Computer Applications 174, no. 5 (September 15, 2017): 20–23. http://dx.doi.org/10.5120/ijca2017915390.

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39

Maciejewski, Ross, Tobias Isenberg, William M. Andrews, David S. Ebert, Mario Costa Sousa, and Wei Chen. "Measuring Stipple Aesthetics in Hand-Drawn and Computer-Generated Images." IEEE Computer Graphics and Applications 28, no. 2 (March 2008): 62–74. http://dx.doi.org/10.1109/mcg.2008.35.

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40

Warodell, Johan Adam. "The Writer at Work: Hand-Drawn Maps in Conrad's Manuscripts." Conradiana 48, no. 1 (2016): 25–45. http://dx.doi.org/10.1353/cnd.2016.0002.

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41

Guest, R. M., S. Chindaro, M. C. Fairhurst, and J. M. Potter. "Optimisation procedures for diagnostic processing of hand-drawn geometric figures." Electronics Letters 39, no. 2 (2003): 205. http://dx.doi.org/10.1049/el:20030121.

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42

Fang, Liyang, Jin Wang, Guodong Lu, Dongliang Zhang, and Jianhui Fu. "Hand-drawn grayscale image colorful colorization based on natural image." Visual Computer 35, no. 11 (November 22, 2018): 1667–81. http://dx.doi.org/10.1007/s00371-018-1613-8.

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43

Kara, Levent Burak, and Thomas F. Stahovich. "An image-based, trainable symbol recognizer for hand-drawn sketches." Computers & Graphics 29, no. 4 (August 2005): 501–17. http://dx.doi.org/10.1016/j.cag.2005.05.004.

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44

Gennari, Leslie, Levent Burak Kara, Thomas F. Stahovich, and Kenji Shimada. "Combining geometry and domain knowledge to interpret hand-drawn diagrams." Computers & Graphics 29, no. 4 (August 2005): 547–62. http://dx.doi.org/10.1016/j.cag.2005.05.007.

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45

Moetesum, Momina, Syed Waqar Younus, Muhammad Ali Warsi, and Imran Siddiqi. "Segmentation and Recognition of Electronic Components in Hand-Drawn Circuit Diagrams." ICST Transactions on Scalable Information Systems 5, no. 16 (April 13, 2018): 154478. http://dx.doi.org/10.4108/eai.13-4-2018.154478.

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46

Ko, Seong-Young, Won-Chul Bang, and Sang-Youn Kim. "A Measurement System for 3D Hand-Drawn Gesture with a PHANToMTMDevice." Journal of Information Processing Systems 6, no. 3 (September 30, 2010): 347–58. http://dx.doi.org/10.3745/jips.2010.6.3.347.

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47

Yamaoka, Masakazu, and Shun Ido. "Haptic Interaction with Deformable Objects Designed Using a Hand-drawn Sketch." International Journal of Applied Mathematics, Electronics and Computers 2, no. 4 (December 22, 2014): 64. http://dx.doi.org/10.18100/ijamec.32926.

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48

CHANG, HUNG-HSIN, and HONG YAN. "VECTORIZATION OF HAND-DRAWN IMAGE USING PIECEWISE CUBIC BÉZIER CURVES FITTING." Pattern Recognition 31, no. 11 (November 1998): 1747–55. http://dx.doi.org/10.1016/s0031-3203(98)00045-4.

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49

NIIMI, Hirofumi, Minoru KOIKE, Seiichi TAKEUCHI, and Noriyoshi DOUHARA. "508 Design Education by Hand-Drawn Solid and 3D CAD System." Proceedings of Conference of Kansai Branch 2007.82 (2007): _5–10_. http://dx.doi.org/10.1299/jsmekansai.2007.82._5-10_.

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50

Hou, Xuyan, Wei Li, Yuexing Han, Aoxiang Wang, Yihui Yang, Lilan Liu, and Yingzhong Tian. "A Novel Mobile Robot Navigation Method Based on Hand-Drawn Paths." IEEE Sensors Journal 20, no. 19 (October 1, 2020): 11660–73. http://dx.doi.org/10.1109/jsen.2020.2997055.

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