software cannot distinguish between white
pixels on the object and the reflection of
light, as it assumes all surfaces are nonreflective
and opaque. Reflections of
surroundings in showcases do not move
consistently with the surface of the object
and the angle of the photo; they may cause
“ghost images” or holes in the model.
Furthermore, glass surfaces may distort the
objects.
● Repetitive features – Tracking certain
repetitive pattern, such as architectural
elements in the background, ripple marks on
track surfaces or honeycombs, can cause the
software to wrongly detect different
instances as corresponding features. Such a
“jump” can result in strange conglomerate
models with parts of the model presented
repeatedly at different positions.
● Featureless textures – Plain surface
textures, such as at blank walls or even
dusty surfaces, make feature identification
difficult; the software may fail in rebuilding
depth of the model, or even at building a
model at all.
● Very thin specimens – If the resolution of
your photos of thin specimens (such as
vertebrate ribs or mollusk shells) is not high
enough, the software-generated point cloud
does not contain enough points to accurately
reproduce the shape of your object. The
points may not be placed in the exact same
place along the length of the thin object.