Camera matching is the process of accurately recreating a real world camera within a 3D program to match a source photograph or moving image sequence. It is a vital step in the process of creating photomontages.
Photomontages are a combination of a rendered image (either drawn by traditional methods or created using computers) and a photographic background. They are an important part of marketing and planning as they show a product or building with real world context. Camera matching is used extensively in many areas of visual communication, not just architectural visualization.
Camera matching has become an important part of architectural visualization for a number of reasons, e.g., informing the public of what a new scheme will look like. It aids the architect with the design process and also enables city planners to decide if new schemes will be approved.
As these hyper-realistic images are being used more and more, it is now essential that they are portrayed as accurately as possible. This is especially true when you are working on images that will be used in planning proposals. The methodology in this chapter is by no means the only way to achieve accurate results. As new technologies become available, this process will likely be more automated and amazingly accurate.
Photomontages are a combination of a rendered image (either drawn by traditional methods or created using computers) and a photographic background. They are an important part of marketing and planning as they show a product or building with real world context. Camera matching is used extensively in many areas of visual communication, not just architectural visualization.
Camera matching has become an important part of architectural visualization for a number of reasons, e.g., informing the public of what a new scheme will look like. It aids the architect with the design process and also enables city planners to decide if new schemes will be approved.
As these hyper-realistic images are being used more and more, it is now essential that they are portrayed as accurately as possible. This is especially true when you are working on images that will be used in planning proposals. The methodology in this chapter is by no means the only way to achieve accurate results. As new technologies become available, this process will likely be more automated and amazingly accurate.
