{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,9]],"date-time":"2026-05-09T18:59:12Z","timestamp":1778353152286,"version":"3.51.4"},"reference-count":26,"publisher":"MDPI AG","issue":"6","license":[{"start":{"date-parts":[[2022,6,8]],"date-time":"2022-06-08T00:00:00Z","timestamp":1654646400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100012166","name":"National Key R&amp;D Program of China","doi-asserted-by":"publisher","award":["2018YFB1308500"],"award-info":[{"award-number":["2018YFB1308500"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012166","name":"National Key R&amp;D Program of China","doi-asserted-by":"publisher","award":["202102055018"],"award-info":[{"award-number":["202102055018"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012166","name":"National Key R&amp;D Program of China","doi-asserted-by":"publisher","award":["211416004"],"award-info":[{"award-number":["211416004"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"publisher"}]},{"name":"2021 MOE of PRC Industry\u2013University Collaborative Program","award":["2018YFB1308500"],"award-info":[{"award-number":["2018YFB1308500"]}]},{"name":"2021 MOE of PRC Industry\u2013University Collaborative Program","award":["202102055018"],"award-info":[{"award-number":["202102055018"]}]},{"name":"2021 MOE of PRC Industry\u2013University Collaborative Program","award":["211416004"],"award-info":[{"award-number":["211416004"]}]},{"name":"Key Research and Development Project of Hubei Province","award":["2018YFB1308500"],"award-info":[{"award-number":["2018YFB1308500"]}]},{"name":"Key Research and Development Project of Hubei Province","award":["202102055018"],"award-info":[{"award-number":["202102055018"]}]},{"name":"Key Research and Development Project of Hubei Province","award":["211416004"],"award-info":[{"award-number":["211416004"]}]},{"name":"Wuhan University of Technology","award":["2018YFB1308500"],"award-info":[{"award-number":["2018YFB1308500"]}]},{"name":"Wuhan University of Technology","award":["202102055018"],"award-info":[{"award-number":["202102055018"]}]},{"name":"Wuhan University of Technology","award":["211416004"],"award-info":[{"award-number":["211416004"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Symmetry"],"abstract":"<jats:p>Car front facing style (CFFS) recognition is crucial to enhancing a company\u2019s market competitiveness and brand image. However, there is a problem impeding its development: with the sudden increase in style design information, the traditional methods, based on feature calculation, are insufficient to quickly handle style analysis with a large volume of data. Therefore, we introduced a deep feature-based machine learning approach to solve the problem. Datasets are the basis of machine learning, but there is a lack of references for car style data annotations, which can lead to unreliable style data annotation. Therefore, a CFFS recognition method was proposed for machine-learning data annotation. Specifically, this study proposes a hierarchical model for analyzing CFFS style from the morphological perspective of layout, surface, graphics, and line. Based on the quantitative percentage of the three elements of style, this paper categorizes the CFFS into eight basic types of style and distinguishes the styles by expert analysis to summarize the characteristics of each layout, shape surface, and graphics. We use imagery diagrams and typical CFFS examples and characteristic laws of each style as annotation references to guide manual annotation data. This investigation established a CFFS dataset with eight types of style. The method was evaluated from a design perspective; we found that the accuracy obtained when using this method for CFFS data annotation exceeded that obtained when not using this method by 32.03%. Meanwhile, we used Vgg19, ResNet, ViT, MAE, and MLP-Mixer, five classic classifiers, to classify the dataset; the average accuracy rates were 76.75%, 78.47%, 78.07%, 75.80%, and 81.06%. This method effectively transforms human design knowledge into machine-understandable structured knowledge. There is a symmetric transformation of knowledge in the computer-aided design process, providing a reference for machine learning to deal with abstract style problems.<\/jats:p>","DOI":"10.3390\/sym14061181","type":"journal-article","created":{"date-parts":[[2022,6,13]],"date-time":"2022-06-13T02:01:44Z","timestamp":1655085704000},"page":"1181","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":12,"title":["Recognition of Car Front Facing Style for Machine-Learning Data Annotation: A Quantitative Approach"],"prefix":"10.3390","volume":"14","author":[{"given":"Lisha","family":"Ma","sequence":"first","affiliation":[{"name":"School of Art and Design, Wuhan University of Technology, Wuhan 430070, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yu","family":"Wu","sequence":"additional","affiliation":[{"name":"School of Art and Design, Wuhan University of Technology, Wuhan 430070, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Qingnan","family":"Li","sequence":"additional","affiliation":[{"name":"School of Art and Design, Wuhan University of Technology, Wuhan 430070, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiaofang","family":"Yuan","sequence":"additional","affiliation":[{"name":"School of Art and Design, Wuhan University of Technology, Wuhan 430070, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2022,6,8]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","unstructured":"Lv, S. (2019, January 28\u201329). Design of the automobile marketing system based on the big data. Proceedings of the International Conference on Big Data Analytics for Cyber-Physical-Systems, Shengyang, China.","DOI":"10.1007\/978-981-15-2568-1_241"},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"113","DOI":"10.1016\/j.aei.2018.06.005","article-title":"Balancing Homogeneity and Heterogeneity in Design Exploration by Synthesizing Novel Design Alternatives based on Genetic Algorithm and Strategic Styling Decision","volume":"38","author":"Hoon","year":"2018","journal-title":"Adv. Eng. Inform."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"14","DOI":"10.1016\/j.aei.2018.05.008","article-title":"A methodology for brand feature establishment based on the decomposition and reconstruction of a feature curve","volume":"38","author":"Hsiao","year":"2018","journal-title":"Adv. Eng. Inform."},{"key":"ref_4","first-page":"775","article-title":"Automobile style evaluation based on eye tracking","volume":"55","author":"Zhaolin","year":"2015","journal-title":"J. Tsinghua Univ. (Sci. Technol.)"},{"key":"ref_5","first-page":"168","article-title":"A machine learning\u2013based framework for analyzing car brand styling","volume":"10","author":"Li","year":"2018","journal-title":"Adv. Mech. Eng."},{"key":"ref_6","first-page":"45","article-title":"Phenomenology of Persian Garden Using Gestalt Psychological Theory of Perception (Case Study: Shahzadeh Mahan Garden)","volume":"10","author":"Azizi","year":"2022","journal-title":"J. Art Civiliz. Orient"},{"key":"ref_7","first-page":"271","article-title":"Measurement of eye-opening perception of visual symbols based on Gestalt Psychology","volume":"Volume 12173","author":"Huang","year":"2022","journal-title":"Proceedings of the International Conference on Optics and Machine Vision (ICOMV 2022)"},{"key":"ref_8","doi-asserted-by":"crossref","unstructured":"Godart, F.C. (2018). Why is style not in fashion? Using the concept of \u201cstyle\u201d to understand the creative industries. Frontiers of Creative Industries: Exploring Structural and Categorical Dynamics, Emerald Publishing Limited.","DOI":"10.1108\/S0733-558X20180000055005"},{"key":"ref_9","first-page":"1","article-title":"2D semantic sketcher for a car aesthetic design","volume":"18","author":"Cheutet","year":"2007","journal-title":"Proc. CPI"},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"258","DOI":"10.1016\/j.procir.2014.03.174","article-title":"Car Styling: A CAD Approach to Identify, Extract and Interpret Characteristic Lines","volume":"21","author":"Bluntzer","year":"2014","journal-title":"Procedia CIRP"},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"483","DOI":"10.1016\/j.aei.2015.04.001","article-title":"Style synthesis and analysis of car designs for style quantification based on product appearance similarities","volume":"29","author":"Hyun","year":"2015","journal-title":"Adv. Eng. Inform."},{"key":"ref_12","doi-asserted-by":"crossref","unstructured":"Usama, M., Arif, A., and Haris, F. (2021, January 5\u20137). A data-driven interactive system for aerodynamic and user-centred generative vehicle design. Proceedings of the International Conference on Artificial Intelligence (ICAI), Islamabad, Pakistan.","DOI":"10.1109\/ICAI52203.2021.9445243"},{"key":"ref_13","doi-asserted-by":"crossref","unstructured":"Wang, H.H., and Chen, C.P. (2020). A case study on evolution of car styling and brand consistency using deep learning. Symmetry, 12.","DOI":"10.3390\/sym12122074"},{"key":"ref_14","first-page":"234","article-title":"Applying DCGAN of Design Model for Automobile Modeling","volume":"07","author":"Pei","year":"2021","journal-title":"Mech. Sci. Technol. Aerosp. Eng."},{"key":"ref_15","first-page":"42","article-title":"Automotive Modeling Design Tool Based on Deep Learning","volume":"18","author":"Xia","year":"2021","journal-title":"Packag. Eng."},{"key":"ref_16","doi-asserted-by":"crossref","unstructured":"Yang, L., Luo, P., Loy, C.C., and Tang, X. (2015, January 7\u201312). A large-scale car dataset for fine-grained categorization and verification. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Boston, MA, USA.","DOI":"10.1109\/CVPR.2015.7299023"},{"key":"ref_17","doi-asserted-by":"crossref","unstructured":"Zhang, X., Huang, L., and Li, M. (2020, January 25\u201327). Research on the Shape of Automobile Face Based on Cultural Translation. Proceedings of the E3S Web of Conferences, Harbin, China.","DOI":"10.1051\/e3sconf\/202123602042"},{"key":"ref_18","unstructured":"Wang, B. (2019). Creative Design of Automobile, Tsinghua University Press."},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"101991","DOI":"10.1016\/j.cagd.2021.101991","article-title":"A sufficient condition for 3D typical curves","volume":"87","author":"Tong","year":"2021","journal-title":"Comput. Aided Geom. Des."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"211","DOI":"10.1007\/s00366-019-00817-x","article-title":"Reconstruction of intersecting surface models from scanned data for styling design","volume":"37","author":"Tsuchie","year":"2021","journal-title":"Eng. Comput."},{"key":"ref_21","first-page":"719","article-title":"Car style-holon recognition in computer-aided design","volume":"6","author":"Ostrosi","year":"2019","journal-title":"J. Comput. Des. Eng."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"319","DOI":"10.1016\/S0142-694X(00)00045-4","article-title":"An examination of the forces that generate a style","volume":"22","author":"Chan","year":"2001","journal-title":"Des. Stud."},{"key":"ref_23","doi-asserted-by":"crossref","unstructured":"Xiao, H.W., Jiang, C.J., and Zhai, J.X. (2017, January 27\u201331). A research on the calculation method of car proportion based on image processing. Proceedings of the MATEC Web of Conferences, Hualien, Taiwan.","DOI":"10.1051\/matecconf\/201816901006"},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"165779","DOI":"10.1109\/ACCESS.2019.2953496","article-title":"A novel approach of hybrid trigonometric B\u00e9zier curve to the modeling of symmetric revolutionary curves and symmetric rotation surfaces","volume":"7","author":"BiBi","year":"2019","journal-title":"IEEE Access"},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"156","DOI":"10.1108\/EC-11-2016-0376","article-title":"Car model reconstruction from images through character line recognition","volume":"35","author":"Wang","year":"2018","journal-title":"Eng. Comput."},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"841","DOI":"10.1037\/rev0000153","article-title":"Towards a rational constructivist theory of cognitive development","volume":"126","author":"Xu","year":"2019","journal-title":"Psychol. 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