Research on Product Primitives Recognition in a Computer-Aided Brand Product Development System

Wang, Wenjin; Su, Jianning; Zhang, Xinxin; Qiu, Kaibin; Zhang, Shutao

doi:10.14733/cadaps.2021.1146-1166

“…In these systems, product element recognition is a core link, which is of great significance for improving the efficiency and accuracy of brand image communication. Yang et al [14] explored the relevant research on product element recognition in computer-aided brand image perception development systems. The computer-aided brand image perception development system usually consists of modules such as image acquisition, preprocessing, primitive recognition, feature extraction, and brand image generation.…”

Section: Status Of Visual Development and Research On Brand Identitymentioning

confidence: 99%

Automatic Generation and Optimization of Product Shapes Based on Generative Artificial Intelligence (AIGC) and Computational Geometry Algorithms

Liu,

Gao

2024

CAD&A

0

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With the change in consumers' consumption concepts, the traditional marine brand image lacks professionalism and diversity in the new media environment, which is not in line with the characteristics of new media information dissemination. The development of computer-aided design technology and multimedia technology broadens the ideas for marine brand image optimization. Therefore, this paper constructs a marine brand image perception model based on network text mining to understand the consumers' emotional perception of the corporate brand image from multiple aspects. The optimization of brand image is realized through an intelligent computer-aided design model. The experimental results show that the marine brand image perception model based on network text mining can effectively mine consumers' perceived emotions and recognition of the brand image. The intelligent optimization model of marine brand image perception based on visual communication can optimize the brand image according to the results of emotional analysis. The survey results show that consumers have a higher degree of recognition of the optimized brand image and deepen their cognition of corporate exclusivity, which improves the positive perceived emotion of the marine brand image.

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“…In these systems, product element recognition is a core link, which is of great significance for improving the efficiency and accuracy of brand image communication. Yang et al [14] explored the relevant research on product element recognition in computer-aided brand image perception development systems. The computer-aided brand image perception development system usually consists of modules such as image acquisition, preprocessing, primitive recognition, feature extraction, and brand image generation.…”

Section: Status Of Visual Development and Research On Brand Identitymentioning

confidence: 99%

Building Multimedia Interactive Landscape Design Platform Based on Genetic Algorithm

Ren,

Chen

2024

CAD&A

0

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With the change in consumers' consumption concepts, the traditional marine brand image lacks professionalism and diversity in the new media environment, which is not in line with the characteristics of new media information dissemination. The development of computer-aided design technology and multimedia technology broadens the ideas for marine brand image optimization. Therefore, this paper constructs a marine brand image perception model based on network text mining to understand the consumers' emotional perception of the corporate brand image from multiple aspects. The optimization of brand image is realized through an intelligent computer-aided design model. The experimental results show that the marine brand image perception model based on network text mining can effectively mine consumers' perceived emotions and recognition of the brand image. The intelligent optimization model of marine brand image perception based on visual communication can optimize the brand image according to the results of emotional analysis. The survey results show that consumers have a higher degree of recognition of the optimized brand image and deepen their cognition of corporate exclusivity, which improves the positive perceived emotion of the marine brand image.

show abstract

“…In these systems, product element recognition is a core link, which is of great significance for improving the efficiency and accuracy of brand image communication. Yang et al [14] explored the relevant research on product element recognition in computer-aided brand image perception development systems. The computer-aided brand image perception development system usually consists of modules such as image acquisition, preprocessing, primitive recognition, feature extraction, and brand image generation.…”

Section: Status Of Visual Development and Research On Brand Identitymentioning

confidence: 99%

Interior Design Assessment System Based on Computer Vision and Multimedia

Song,

Zhu

2024

CAD&A

0

View full text Add to dashboard Cite

With the change in consumers' consumption concepts, the traditional marine brand image lacks professionalism and diversity in the new media environment, which is not in line with the characteristics of new media information dissemination. The development of computer-aided design technology and multimedia technology broadens the ideas for marine brand image optimization. Therefore, this paper constructs a marine brand image perception model based on network text mining to understand the consumers' emotional perception of the corporate brand image from multiple aspects. The optimization of brand image is realized through an intelligent computer-aided design model. The experimental results show that the marine brand image perception model based on network text mining can effectively mine consumers' perceived emotions and recognition of the brand image. The intelligent optimization model of marine brand image perception based on visual communication can optimize the brand image according to the results of emotional analysis. The survey results show that consumers have a higher degree of recognition of the optimized brand image and deepen their cognition of corporate exclusivity, which improves the positive perceived emotion of the marine brand image.

show abstract

Research on Product Primitives Recognition in a Computer-Aided Brand Product Development System

Cited by 13 publications

References 0 publications

Automatic Generation and Optimization of Product Shapes Based on Generative Artificial Intelligence (AIGC) and Computational Geometry Algorithms

Automatic Generation and Optimization of Product Shapes Based on Generative Artificial Intelligence (AIGC) and Computational Geometry Algorithms

Building Multimedia Interactive Landscape Design Platform Based on Genetic Algorithm

Interior Design Assessment System Based on Computer Vision and Multimedia

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