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QTVR Objects -
Image Capture for Objects

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As you know, you can use a variety of image capture approaches to create QTVR object movies. Still photography, video cameras, or even 3D rendering applications can all capture or generate the images needed to create a QTVR object. However, your choice of capture approach has implications for the quality of your movie as well as the process you'll use to create it.

Consider again the number of images required to create an object movie if you capture images every 10 degrees horizontally and use 14 vertical views, from 90 degrees to -40 degrees. You will capture a total of 504 images to create the movie (14 times 36 = 504), assuming that there are no animated views.

If you were to use a still 35mm camera to capture the images, you would need 14 rolls of 36-exposure film to capture all the images for the single QTVR object. When you consider the costs for film and digitizing, you could easily approach $700 for materials alone, not counting your own time for capturing or pre-/post-processing the images. In contrast, if you use a video camera and a digitizing board to capture the images, your material costs are $0 as the individual images are digitized as they are captured and no film development or digitizing is needed.

In addition, using a video camera to capture your images enables you to load the views directly into a QuickTime movie, saving an entire processing step over using film. Imagine the time required to organize and properly sequence ±500 digital images into the correct order and then load them into a QuickTime movie.

For the above reasons, most developers use video capture methods when creating QTVR objects. It is generally easier, faster, and more convenient, especially for objects requiring a large number of views or a large number of animated loops. However, using film or digital 35mm cameras does have its place. Because QTVR objects also support zooming, the higher resolutions provided by 35mm film images allow users to see more detail as they zoom into the object. Thus, your choice of a capture approach will be a trade-off between the image resolution desired for zooming, the desired size of the object file, and the number of views you intend to capture.




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