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How can compressed 3D data improve 3D visualization?

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3D visualization is the process of creating and displaying realistic images of 3D objects and scenes on a 2D screen. It has many applications in fields such as engineering, architecture, gaming, medicine, and education. However, 3D visualization also poses some challenges, such as high computational and storage costs, bandwidth limitations, and quality degradation. One way to overcome these challenges is to use compressed 3D data, which can reduce the size and complexity of 3D models and images without losing too much detail or accuracy. In this article, you will learn how compressed 3D data can improve 3D visualization in terms of performance, efficiency, and quality.

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Ravinder (Ravi) Singh

Investor: Deep Tech & Science | Professor: Innovation & Entrepreneurship | C-Level Leader: Technology & Engineering |…

1 What is 3D data compression?

3D data compression is the technique of reducing the amount of data required to represent a 3D object or scene. It can be applied to different types of 3D data, such as meshes, point clouds, voxels, or images. The main goal of 3D data compression is to achieve a high compression ratio, which is the ratio of the original data size to the compressed data size, while preserving the essential features and characteristics of the 3D data. 3D data compression can be classified into two categories: lossless and lossy. Lossless compression preserves the exact information of the original data, while lossy compression introduces some distortion or error in exchange for higher compression ratios.

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Ravinder (Ravi) Singh

Investor: Deep Tech & Science | Professor: Innovation & Entrepreneurship | C-Level Leader: Technology & Engineering | Board Adviser: Incubation & Rationalization | Global Speaker: Future & Realism I Aviator
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3D compression reduces the size and complexity of 3D models, making them easier to store, transmit, and process … it allows for interactive and realistic rendering of 3D models, enhancing the communication and collaboration among engineers, designers, and customers.

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2 How does 3D data compression work?

3D data compression works by exploiting the redundancy and correlation in 3D data. Redundancy means that some parts of the data are repeated or unnecessary, while correlation means that some parts of the data are predictable or similar to others. For example, a 3D mesh may have many vertices that are close to each other or share the same attributes, or a 3D image may have many pixels that have the same or similar colors. By removing or encoding these redundant or correlated parts more efficiently, 3D data compression can reduce the amount of data needed to store or transmit the 3D data. There are many algorithms and techniques for 3D data compression, such as geometry simplification, quantization, entropy coding, transform coding, and predictive coding.

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Ravinder (Ravi) Singh

Investor: Deep Tech & Science | Professor: Innovation & Entrepreneurship | C-Level Leader: Technology & Engineering | Board Adviser: Incubation & Rationalization | Global Speaker: Future & Realism I Aviator
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To take a plunge and learn 3d compression - try encoder Draco, which is an open-source library for compressing and decompressing 3D geometric meshes and point clouds … Draco can improve the storage and transmission of 3D graphics, and support various attributes associated with geometry, such as texture coordinates, color information, and normals … it also provides C++ and Javascript decoders for the encoded data, which can be used to view 3D models …

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3 What are the benefits of 3D data compression for 3D visualization?

3D data compression can offer several benefits for 3D visualization, such as improved performance, increased efficiency, and enhanced quality. Compressed 3D data requires less memory and CPU power than uncompressed 3D data, allowing for faster processing and rendering. It also requires less disk space and bandwidth for storage and transmission, reducing the costs and time associated with 3D visualization applications. Additionally, some compression techniques can eliminate noise or artifacts that may exist in the original 3D data, as well as refine the surface or texture of 3D objects or adjust the lighting or color of 3D scenes. This can improve the responsiveness and interactivity of 3D visualization applications, especially on devices with limited resources or capabilities.

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Ravinder (Ravi) Singh

Investor: Deep Tech & Science | Professor: Innovation & Entrepreneurship | C-Level Leader: Technology & Engineering | Board Adviser: Incubation & Rationalization | Global Speaker: Future & Realism I Aviator
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- reduce the cost and time of product development and testing, as 3D models can be quickly modified and validated using digital tools - improve the quality and performance of aerospace and aviation parts, as 3D models can be optimized for weight, strength, and aerodynamics - enable the use of additive manufacturing or 3D printing, which allows for the production of complex and customized parts with less waste and lower environmental impact - enhance the customer experience and satisfaction, as 3D models can be used to create immersive simulations and in-flight entertainment.

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4 What are the challenges of 3D data compression for 3D visualization?

3D data compression also faces some challenges for 3D visualization, such as a trade-off between compression ratio and quality. Compressed 3D data may suffer from some loss of fidelity, depending on the compression ratio and technique, potentially introducing distortion or blurring in 3D objects or images. The trade-off between compression ratio and quality varies based on the application and user requirements. Additionally, there can be compatibility and interoperability issues with different formats, standards, or platforms. For example, some proprietary algorithms or codecs may not be supported by other applications or devices. Compatibility and interoperability issues may limit the usability and accessibility of compressed 3D data for 3D visualization.

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5 What are some examples of 3D data compression for 3D visualization?

There are many examples of 3D data compression for 3D visualization, such as Draco, JPEG Pleno, and MPEG-4. Draco is an open-source library for compressing and decompressing 3D meshes and point clouds, while JPEG Pleno is a standard for compressing and decompressing 3D images. MPEG-4 is a standard for compressing and decompressing multimedia data, including 3D data. All of these compression methods can achieve high compression ratios and fast compression and decompression speeds while preserving the geometry and attributes of 3D data. Additionally, they can support various types of 3D visualization features and applications, such as web-based 3D graphics, virtual reality, augmented reality, 3D printing, immersive media, medical imaging, cultural heritage, video games, movies, and broadcasts.

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6 Here’s what else to consider

This is a space to share examples, stories, or insights that don’t fit into any of the previous sections. What else would you like to add?

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How can compressed 3D data improve 3D visualization?

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1 What is 3D data compression?

2 How does 3D data compression work?

3 What are the benefits of 3D data compression for 3D visualization?

4 What are the challenges of 3D data compression for 3D visualization?

5 What are some examples of 3D data compression for 3D visualization?

6 Here’s what else to consider

Computer Engineering

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How can compressed 3D data improve 3D visualization?

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3

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6

1 What is 3D data compression?

2 How does 3D data compression work?

3 What are the benefits of 3D data compression for 3D visualization?

4 What are the challenges of 3D data compression for 3D visualization?

5 What are some examples of 3D data compression for 3D visualization?

6 Here’s what else to consider

Computer Engineering

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