Proceedings of The International Conference on Emerging Trends in Artificial Intelligence and Smart Systems, THEETAS 2022, 16-17 April 2022, Jabalpur, India

Research Article

A Review of various 3-D Modelling Techniques and an Introduction to Point Clouds

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  • @INPROCEEDINGS{10.4108/eai.16-4-2022.2318159,
        author={Arpit  Lamba and Romit  Bhalla},
        title={A Review of various 3-D Modelling Techniques and an Introduction to Point Clouds },
        proceedings={Proceedings of The International Conference on Emerging Trends in Artificial Intelligence and Smart Systems, THEETAS 2022, 16-17 April 2022, Jabalpur, India},
        publisher={EAI},
        proceedings_a={THEETAS},
        year={2022},
        month={6},
        keywords={3d modelling point clouds virtual reality augmentation},
        doi={10.4108/eai.16-4-2022.2318159}
    }
    
  • Arpit Lamba
    Romit Bhalla
    Year: 2022
    A Review of various 3-D Modelling Techniques and an Introduction to Point Clouds
    THEETAS
    EAI
    DOI: 10.4108/eai.16-4-2022.2318159
Arpit Lamba1, Romit Bhalla1,*
  • 1: Gyan Ganga Institute of Technology & Sciences, Jabalpur, Madhya Pradesh, India
*Contact email: romitbhalla.cs16@ggits.org

Abstract

The substantial lead of 3D models and computer graphics over 2D images is no mystery. Apart from being a hot topic in scientific and engineering society, 3D data models are found to be of widespread usage in fields like virtual reality, e-commerce, robotics, auto-pilot vehicles and other dominant techniques to successfully overcome the limitations of 2D projections, with their demands increasing with every passing digital age. This research paper is divided into 2 parts: the first part enlightens us about the various 3D modelling techniques with advantages, limitations and applications of each one of them while the latter part of the paper introduces the latest pioneer in the field of 3D modelling titled as ′Point Clouds′, an open source project capable of carrying out tasks like 3D classification, 3D detection, 3D segmentation, augmentation, flow estimation etc. To conclude our work, we outlined the various features of the Point Cloud Library along with their uses and future research summons.