Multi-viewpoint integration

The main 3-D measurement page describes multi-viewpoint registration using human-selected landmarks commonly visible in pairs of range maps. Another method is precise metrology -- know the transformation of the sensor or the target between the range maps, and apply the reverse transformation to the data. That was used to register six range maps of a canine skull, taken from viewpoints approximately 30 degrees above the target stage, each separated from the previous view by 60 degrees in azimuth. The composite 3-D model, texture-mapped with six surface colors to indicate which range map contributed a given surface patch, is seen below.

dog skull

Color-coded combination of six canine range maps

dog skull

Uniformly-colored combination of six canine range maps

dog skull

Uniformly-colored combination of six canine range maps

dog skull

Uniformly-colored combination of six canine range maps


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