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Rendering View of Kitchen Design Using Autodesk 3Ds Max

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Micro-Electronics and Telecommunication Engineering (ICMETE 2021)

Abstract

The method of creating a 3D kitchen design model is clarified, including setting up the sources, working with editable poly, information in the inside of the kitchen design, and applying turbo-smooth and symmetry modifier. The way materials are introduced to the model which is defined in addition to lighting the environment and setting up the renderer. Rendering methods and procedures are also defined. Multiple images were drawn to create the final rendering. The goal of our research is to produce a kitchen design that uses materials to enhance models. Cylinder, sphere, box, plane, and splines were the shapes employed. Editable poly, editable spline, and UVW map are the modifiers. Finally, we enhanced the model using a material editor and target lighting.

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References

  1. Arayici Y, Hamilton A (2005) Modeling 3D scanned data to visualize the built environment. In: Ninth international conference on information visualisation (IV’05), p 509–514. ISSN: 2375-0138

    Google Scholar 

  2. Castellani U, Fusiello A, Murino V, Papaleo L, Puppo E, Pittore M (2005) A complete system for on-line 3D modelling from acoustic images. Signal Process Image Commun 20(9–10):832–852

    Article  Google Scholar 

  3. De Luca L, Veron P, Florenzano M (2006) Reverse engineering of architectural buildings based on a hybrid modeling approach. Comput Graph 30(2):160–176

    Article  Google Scholar 

  4. Samanta GSD, Paul M (2011) Segmentation technique of sar imagery using entropy. Int J Comput Technol Appl 2:1548–1551

    Google Scholar 

  5. Esteban CH, Schmitt F (2003) Silhouette and stereo fusion for 3D object modeling. In: Fourth international conference on 3-D digital imaging and modeling. 3DIM 2003. Proceedings, pp 46–53

    Google Scholar 

  6. Guha A, Samanta D, Banerjee A, Agarwal D (2021) A deep learning model for information loss prevention from multi-page digital documents. IEEE Access 9:80451–80465

    Article  Google Scholar 

  7. Lian Q, Li D-C, Tang Y-P, Zhang Y-R (2006) Computer modeling approach for a novel internal architecture of artificial bone. Comput Aided Des 38(5):507–514

    Article  Google Scholar 

  8. Maheswari M, Geetha S, Selva Kumar S, Karuppiah M, Samanta D, Park Y (2021) PEVRM: probabilistic evolution based version recommendation model for mobile applications. IEEE Access 9:20819–20827

    Google Scholar 

  9. Park S-Y, Subbarao M (2005) A multiview 3D modeling system based on stereo vision techniques. Mach Vis Appl 16(3):148–156

    Google Scholar 

  10. Sainz M, Pajarola R, Mercade A, Susin A (2004) A simple approach for point-based object capturing and rendering. IEEE Comput Graph Appl 24(4):24–33

    Google Scholar 

  11. Samanta D, Sanyal G (2012) Segmentation technique of sar imagery based on fuzzy c-means clustering, pp 610–612

    Google Scholar 

  12. Sun W, Starly B, Nam J, Darling A (2005) Bio-CAD modeling and its applications in computer-aided tissue engineering. Comput Aided Des 37(11):1097–1114

    Article  Google Scholar 

  13. Samanta D, Sanyal G (2012) A novel approach of sar image classification using color space clustering and watersheds, pp 237–240

    Google Scholar 

  14. Kureethara V, Biswas J, Samanta D, Eapen NG Balanced constrained partitioning of distinct objects. Int J Innov Technol Exploring Eng. ISSN: 2278-3075(Online). https://doi.org/10.35940/ijitee.K1023.09811S19

  15. Biswal AK, Singh D, Pattanayak BK, Samanta D, Yang M-H (2021) IoT-based smart alert system for drowsy driver detection. Wireless Commun Mobile Comput. Article ID 6627217, p 13. https://doi.org/10.1155/2021/6627217

  16. Manu MK, Roy S, Samanta D (2018) Effects of liver cancer drugs on cellular energy metabolism in hepatocellular carcinoma cells. Int J Pharm Res 10(3). ISSN-0975-2366. https://doi.org/10.31838/ijpr/2018.10.03.079

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© 2022 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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Das Gupta, R., Samanta, D., Joseph, N.P. (2022). Rendering View of Kitchen Design Using Autodesk 3Ds Max. In: Sharma, D.K., Peng, SL., Sharma, R., Zaitsev, D.A. (eds) Micro-Electronics and Telecommunication Engineering . ICMETE 2021. Lecture Notes in Networks and Systems, vol 373. Springer, Singapore. https://doi.org/10.1007/978-981-16-8721-1_33

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  • DOI: https://doi.org/10.1007/978-981-16-8721-1_33

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-16-8720-4

  • Online ISBN: 978-981-16-8721-1

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