An Indoor Design Assistance System Integrating Depth Sensors and Computer Graphics
Zapisane w:
| Wydane w: | International Journal of E-Collaboration vol. 21, no. 1 (2025), p. 1-17 |
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IGI Global
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| Hasła przedmiotowe: | |
| Dostęp online: | Citation/Abstract Full Text - PDF |
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| 001 | 3255274855 | ||
| 003 | UK-CbPIL | ||
| 022 | |a 1548-3673 | ||
| 022 | |a 1548-3681 | ||
| 024 | 7 | |a 10.4018/IJeC.389057 |2 doi | |
| 035 | |a 3255274855 | ||
| 045 | 2 | |b d20250101 |b d20250331 | |
| 084 | |a 78805 |2 nlm | ||
| 100 | 1 | |a Wu, Feng |u Changchun Humanities and Sciences College, China | |
| 245 | 1 | |a An Indoor Design Assistance System Integrating Depth Sensors and Computer Graphics | |
| 260 | |b IGI Global |c 2025 | ||
| 513 | |a Journal Article | ||
| 520 | 3 | |a Facing the dual challenges of growing personalized demands and efficiency improvements in the indoor design industry, this paper proposes an intelligent design assistance system that integrates depth sensors with computer graphics. This system achieves automated spatial data collection through multimodal data fusion technology, constructs immersive design environments with real-time rendering engines, and optimizes spatial layouts using reinforcement learning algorithms. Research results verify the system's significant advantages in enhancing design efficiency, optimizing spatial quality, and enhancing user experience, providing critical technological support for promoting digital transformation within the indoor design industry. The system's modular architecture enables seamless integration with existing design workflows, ensuring adaptability to diverse project requirements and client preferences. | |
| 653 | |a Universal design | ||
| 653 | |a Accuracy | ||
| 653 | |a Data collection | ||
| 653 | |a Collaboration | ||
| 653 | |a User experience | ||
| 653 | |a Adaptability | ||
| 653 | |a Sensors | ||
| 653 | |a Reinforcement | ||
| 653 | |a Machine learning | ||
| 653 | |a Optimization | ||
| 653 | |a Interdisciplinary aspects | ||
| 653 | |a Efficiency | ||
| 653 | |a Data integration | ||
| 653 | |a Computer graphics | ||
| 653 | |a Intelligent design | ||
| 653 | |a Feedback | ||
| 653 | |a Visualization | ||
| 653 | |a Intelligence | ||
| 653 | |a Spatial data | ||
| 653 | |a Transformation | ||
| 653 | |a Artificial intelligence | ||
| 653 | |a Modular systems | ||
| 653 | |a Interior design | ||
| 653 | |a Algorithms | ||
| 653 | |a Customization | ||
| 653 | |a Design optimization | ||
| 653 | |a Real time | ||
| 653 | |a Multisensor fusion | ||
| 653 | |a Semantics | ||
| 700 | 1 | |a Tang, Wen |u BeiHua University, China | |
| 773 | 0 | |t International Journal of E-Collaboration |g vol. 21, no. 1 (2025), p. 1-17 | |
| 786 | 0 | |d ProQuest |t ABI/INFORM Global | |
| 856 | 4 | 1 | |3 Citation/Abstract |u https://www.proquest.com/docview/3255274855/abstract/embedded/75I98GEZK8WCJMPQ?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text - PDF |u https://www.proquest.com/docview/3255274855/fulltextPDF/embedded/75I98GEZK8WCJMPQ?source=fedsrch |