ExampleMultiviewSceneReconstruction

Documentation of 'boofcv.examples.sfm.ExampleMultiviewSceneReconstruction' Java class ExampleMultiviewSceneReconstruction

```
public class ExampleMultiviewSceneReconstruction
extends java.lang.Object
```
Demonstration on how to do 3D reconstruction from a set of unordered photos with known intrinsic camera calibration. The code below is still a work in process and is very basic, but still require a solid understanding of structure from motion to understand. In other words, this is not for beginners and requires good clean set of images to work. One key element it is missing is bundle adjustment to improve the estimated camera location and 3D points. The current bundle adjustment in BoofCV is too inefficient. Better noise removal and numerous other improvements are needed before it can compete with commercial equivalents.

Nested Classes
Modifier and Type	Class and Description
`static class`	`ExampleMultiviewSceneReconstruction.Feature3D`

Constructors
Constructor and Description
`ExampleMultiviewSceneReconstruction()`

All Methods Static Methods Instance Methods Concrete Methods
Modifier and Type	Method and Description
`static void`	`main(java.lang.String[] args)`
`void`	`normalizeScale(Se3_F64 transform, java.util.List<ExampleMultiviewSceneReconstruction.Feature3D> features)` Scale can only be estimated up to a scale factor.
`void`	`process(IntrinsicParameters intrinsic, java.util.List<java.awt.image.BufferedImage> colorImages)` Process the images and reconstructor the scene as a point cloud using matching interest points between images.

Methods inherited from class java.lang.Object
equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Class ExampleMultiviewSceneReconstruction