scalismo.statisticalmodel.asm.SearchPointSampler.scala Maven / Gradle / Ivy
/*
* Copyright 2015 University of Basel, Graphics and Vision Research Group
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
package scalismo.statisticalmodel.asm
import scalismo.common.PointId
import scalismo.geometry.{_3D, Point}
import scalismo.mesh.TriangleMesh
import scala.collection.immutable
trait SearchPointSampler extends Function2[TriangleMesh[_3D], PointId, immutable.Seq[Point[_3D]]] {}
case class NormalDirectionSearchPointSampler(numberOfPoints: Int, searchDistance: Float) extends SearchPointSampler {
override def apply(mesh: TriangleMesh[_3D], pointId: PointId): immutable.Seq[Point[_3D]] = {
val point = mesh.pointSet.point(pointId)
val interval = searchDistance * 2 / numberOfPoints
val normalUnnormalized = mesh.vertexNormals(pointId)
val normal = normalUnnormalized * (1.0 / normalUnnormalized.norm)
def samplePointsOnNormal(): immutable.Seq[Point[_3D]] = {
for (i <- -numberOfPoints / 2 to numberOfPoints / 2) yield {
point + normal * i * interval
}
}
samplePointsOnNormal()
}
}