Automotive Visualisation / CGI

Automotive Visualisation / CGI

The applications for CGI within the automotive sector are vast. From design prototyping to full production quality print campaigns, CGI is leveraged to create visualisations of the highest quality. A key advantage is the ability to produce CG shots of the 3D data in any location around the world. Removing heavy logistical management and associated costs. Better still, this can all be performed pre-manufacture, giving your marketing a real leadout. Once the CGI is created 3D models are stored, ready for future productions. 

Marketing Campaign Imagery
From online configurators to print brochures, CGI forms an essential tool to leverage 3D data sets and extract maximum value. With CGI you can effectively create the otherwise infeasible, whilst reducing risk and associated costs of traditional methods.

Backplate Photography and 3D HDRi Spheres
Using an HDR (High Dynamic Range) image and corresponding backplate a 3D model can be integrated and seamlessly composited together to give the impression the subject was shot on location. The result will be matching reflections, highlights and shadows in true photorealistic form. (Backplate courtesy of Maground

Colourway Options
For consistent composition and subsequent camera angle reproduction CGI provides the perfect solution to showcase a range of product colourways. 

Automotive Configurators
The use of CGI as a tool to creative automotive configurators is unrivalled. Once the 3D data is prepared we can quickly and cost effectively produce the CG assets required in order to create the full configuration experience. If additional configurable options are launched at a later date, the new data can be prepared, imported and rendered without heavy costs. No longer are expensive pre-production prototypes needed for the pre-launch market drive. CGI delivers photorealistic marketing assets long before the final product is ready. 

 

Data Prep

An essential element to ensure renders of the highest photorealistic quality is to prepare the 3D data set for visualisation. The optimisation and fine tuning of the 3D data will remove duplicate surface data, add shadow gaps / split lines, re-model organic objects, adding stitching details and build the final assembly ready for visualisation. 

 

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