SMART PICKING IN 3D POINT CLOUDS
First Claim
1. A method for identifying a point representing a feature in a 3D dataset comprising:
- performing a pick, wherein the pick includes;
filtering the dataset including extracting a subset of points based on certain criteria, wherein the criteria include a seed point; and
evaluating a metric for each point in the subset of points, wherein the metric is a non-normalized probability that the point being evaluated represents the feature; and
identifying a point or points with the highest metric as representing the feature.
1 Assignment
0 Petitions
Accused Products
Abstract
An embodiment of the invention includes a method for identifying a point representing a feature in a 3D dataset. The method includes performing a pick, which includes filtering the dataset to extract a subset of points based on certain criteria including a seed point and evaluating a metric for each point in the subset of points. The metric is a non-normalized probability that the point being evaluated represents the feature. The point or points with the highest metric is identified as representing the feature. Another embodiment of the invention includes a computer-readable medium comprising computer-executable instructions for identifying a point representing a feature in a 3D dataset. Another embodiment of the invention includes a method for displaying a view of a feature in a 3D dataset.
76 Citations
42 Claims
-
1. A method for identifying a point representing a feature in a 3D dataset comprising:
-
performing a pick, wherein the pick includes; filtering the dataset including extracting a subset of points based on certain criteria, wherein the criteria include a seed point; and evaluating a metric for each point in the subset of points, wherein the metric is a non-normalized probability that the point being evaluated represents the feature; and identifying a point or points with the highest metric as representing the feature. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34)
-
-
35. A method for displaying a view of a feature in a 3D dataset comprising:
-
defining the feature to be detected; picking a point representing the feature; determining a view direction based on the feature and configured to highlight the feature; and displaying a slice of data, with dimensions that highlight the feature, along the view direction in the immediate neighborhood of the picked point. - View Dependent Claims (36, 37, 38, 39, 40, 41, 42)
-
Specification