Auto Cone extracted from a COP

Sounds to me like the noise you're getting from the cone's scan isn't being filtered out properly. That noisy cone yields a noisy circle.

If you're taking auto surface points and constructing a cone out of it, that filtering is being set inside of the feature, but since it's on a CONICAL surface, the auto surface point isn't the correct one to use. Auto surface points are going to create an average centroid from all the points subsampled. The more curved the surface, the smaller an area you have to sample to be repeatable, and therefore you'll be the most susceptible to noise. Best to stick with Auto Cone in this application.

- are you correctly using your center offset (green) / search length (purple) / clipping parameters and confirming your pointcloud subsample via the segregated points option? This is fundamental to using any laser-extracted features in PCDMIS, please see the attached picture





-Is your auto cone coming from a scanned pointcloud or scanned mesh? Clearly a scanned mesh will have less noise than a pointcloud

-How are you filtering your cloud before you construct a cone from it? Are you using Random? Curvature? Uniform? What standard deviation of points are you keeping inside of the Auto Cone?

-Is it sprayed? or are you scanning on a shiny surface? Obviously we prefer a sprayed surface. If the surface is shiny, maybe a zigzag/flyingdot scanner would prove more effective than a line scanner

IMO, your Auto Cone isn't correlating to your Constructed Cone due to a difference in subsampling or filtering.

Sounds to me like the noise you're getting from the cone's scan isn't being filtered out properly. That noisy cone yields a noisy circle.

If you're taking auto surface points and constructing a cone out of it, that filtering is being set inside of the feature, but since it's on a CONICAL surface, the auto surface point isn't the correct one to use. Auto surface points are going to create an average centroid from all the points subsampled. The more curved the surface, the smaller an area you have to sample to be repeatable, and therefore you'll be the most susceptible to noise. Best to stick with Auto Cone in this application.

- are you correctly using your center offset (green) / search length (purple) / clipping parameters and confirming your pointcloud subsample via the segregated points option? This is fundamental to using any laser-extracted features in PCDMIS, please see the attached picture





-Is your auto cone coming from a scanned pointcloud or scanned mesh? Clearly a scanned mesh will have less noise than a pointcloud

-How are you filtering your cloud before you construct a cone from it? Are you using Random? Curvature? Uniform? What standard deviation of points are you keeping inside of the Auto Cone?

-Is it sprayed? or are you scanning on a shiny surface? Obviously we prefer a sprayed surface. If the surface is shiny, maybe a zigzag/flyingdot scanner would prove more effective than a line scanner

IMO, your Auto Cone isn't correlating to your Constructed Cone due to a difference in subsampling or filtering.