When should you use a less data than the full dataset? Whenever you have a lot of overlap between your photos with tons of redundancy. Why might this be? The more photos you have, the more chances you have of a misalignment, which would reflect in both the mesh reconstruction as well as the sharpness of the texture. This one might seem a bit weird but sometimes, the less data you use, the better your results might be. Less is More: Use 1/2 of the Total Images Captured ![]() This is great because you can use this processed dataset for the alignment and reconstruction steps (aka, the geometry layer), but use a secondary color corrected dataset for texturing (texture layer).Ĭheck out this section of my video tutorial discussing the Image Layers feature in more detail. Reality Capture has a great feature that lets you use different processed versions of the images for different steps (called Image Layers). I typically bring the highlights and shadows back to towards original positions, adjust the white balance to my liking, and export them to a folder called “_texture”. You can export a 2nd set of processed images that are “color corrected” which you can use for Texturing. Typically, I don’t reduce the highlights by -100, but this photo was a bit overexposedĮxport the full image dataset with the same adjustments into a folder called “_geometry” which you’ll use for the Alignment and Reconstruction steps in Reality Capture.
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