public void NoLod()
{
var chunk = new Chunk(new[]
{
new V3d(0, 0, 0),
new V3d(1, 0, 0),
new V3d(1, 1, 0),
new V3d(0, 1, 0)
});
var config = ImportConfig.Default
.WithInMemoryStore()
.WithRandomKey()
.WithCreateOctreeLod(false)
;
var cloud = PointCloud.Chunks(chunk, config);
Assert.IsTrue(cloud.HasNormals == false);
Assert.IsTrue(cloud.HasLodNormals == false);
config = config
.WithRandomKey()
.WithEstimateNormals(ps => Normals.EstimateNormals((V3d[])ps, 5))
;
var cloud2 = cloud.GenerateNormals(config);
Assert.IsTrue(cloud2.HasNormals == true);
Assert.IsTrue(cloud2.Root.Value.Normals.Value.All(n => n == V3f.OOI));
Assert.IsTrue(cloud2.HasLodNormals == false);
}
public void CanEstimateNormals_FromZeroToThreePoints()
{
var r = new Random();
for (var n = 0; n < 4; n++)
{
var ps = new V3f[n].SetByIndex(_ => new V3f(r.NextDouble(), r.NextDouble(), r.NextDouble()));
var kd = ps.BuildKdTree();
var ns = Normals.EstimateNormals(ps, 16, kd);
Assert.IsTrue(ns.Length == n);
}
}
public void CanEstimateNormalsWithoutKdTree()
{
var ps = new[]
{
new V3f(0, 0, 0),
new V3f(1, 0, 0),
new V3f(1, 1, 0),
new V3f(0, 1, 0),
};
var ns = Normals.EstimateNormals(ps, 16);
Assert.IsTrue(ns.Length == 4);
Assert.IsTrue(ns.All(n => n == V3f.ZAxis));
}
