Advanced Modelling System in the Visualization Space
When we look deep into the technologies that lead to magnificent visuals on large displays or head mounted immersive displays, we can divide it broadly into three categories - Data capture, Data processing and Visualization.
Visualization has become a key component of many technology-driven industries. It has lately broken the limits of gaming & entertainment and is penetrating deep into sectors like real estate, design, education, etc. In the current competitive market-scenario, the products have become so complicated that advanced visualization has become an essential tool.
When we look deep into the technologies that lead to magnificent visuals on large displays or head mounted immersive displays, we can divide it broadly into three categories - Data capture, Data processing and Visualization. All three dots when connected with proper curves provides the end user with a seamless experience which creates an everlasting experience. The first two components can be broadly classified as an advanced modelling system. Final model is the output of these two modelling processes, wherein first each pixel is captured in 3D space and then compressed so that it can be deployed on the cloud, to be visualised on various devices across the globe.
Data capture can be further divided into real life data capture and computer generated / rendered models.
Real Life data capture: The last decade has seen a huge technological advancement in the field of 3D data capture. Starting from very high precision laser capturing devices, which were also very expensive we have reached a stage where even smart phones have dual cameras which can sense depth. Intermittent between the two are various kind of 360-degree cameras which technological giants like google still depend upon. Real life data capture has its inherent advantage of accuracy and realism. Data capture is also very fast and reliable.
Computer generated / rendered models: Often it is not possible to live capture and model 3D spaces. Mainly due to two reasons, either it is in accessible for humans or it is non-existent / fiction. Computer generated models created by expert artists give a true picture of what the environment looks like. A good example is advanced models used in Hollywood movies to depict space expeditions or Jurassic age. Computer generated models are so real that they often confuse senses within human limits. This modelling though has a fall side of being too expensive and time taking to create.
Data processing consists of two stages, one is merging and other is data compression.
Data Merging: The captured / created data, whether real or virtual, need proper merging so that each pixel is migrated to actual position in 3D space. Large amount of data consisting of coordinated and pixel colours are captured each time camera shutter is opened. These various shots need to be aligned using advanced algorithms to create seamless units. These units are further merged to create 3D spaces.
Data Compression: Captured / merged data is always over precise and humongous in size. The first step is to remove redundant data which is captures in successive shots. Next comes loosely compressing data so that reduction in size has no impact on visualization. Final step is the step of lossy compression where we reduce size as per requirement / screen resolution.
When properly executed advanced modelling, techniques generate models which can be visualised using a vast range of devices. Vivid industries are using 3D models to owe clients but broadly the processes of modelling system are similar.
Disclaimer: The views expressed in the article above are those of the authors' and do not necessarily represent or reflect the views of this publishing house
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