Photogrammetry/Regard3D

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Image 1 of your object from multiple angles
Image 2 of your object from multiple angles
Image 3 of your object from multiple angles

This learning resource will support you in creating a 3D Model from a bunch of images.

Regard3D[edit]

Regard3D is an OpenSource photogrammetry software, that creates a 3D model from a bunch of images.

Webbased Demos of Results[edit]

Workflow for Photogrammetry[edit]

Remarks for taking images[edit]

  • It is important to 40 to 60 of images and from multiple angles, to create good quality of the 3D model. More image need more computations time but you will get a better quality of your 3D model.
  • place a structured surface under your object you want to scan. It helps Regard3D to identify spatial link between the set of images (see demo on the right with a chess board like surface the has unique markers on the edges to support identification of 3D geometry). The surface can be removed after the calculation of the 3D model within Regard3D.
  • avoid direct sunlight and shades in your images
  • provide all the images with same constant light (make some corrections e.g. in GIMP)
  • avoid reflections on the objects (remove reflection with GIMP's Clone tool (Youtube)[2] if necessary)


Source Object 3D Model
Karlsburg Durlach - Germany
Regard3D - Generate 3D Model with just 14 images from different angles from the ground (no drone images)
(1) Regard3D Screenshot - Start Screen
(2) Regard3D Screenshot - Create New Project
(3) Regard3D Screenshot - Add Picture Set
(4) Regard3D Screenshot - Added Pictures
(5) Regard3D Screenshot - Press Button (Compute Matches)
(6) Regard3D Screenshot - Set Parameters for Matching Process
(7) Regard3D Screenshot - Show Matching Results
(8) Regard3D Screenshot - Start Triangulation and set Triangulation Parameter
(9) Regard3D Screenshot - Show Triangulated Points - Preparation for Calculation of Point Cloud
(10) Regard3D Screenshot - Calculation of Point Cloud - Time intensive Process
(11) Regard3D Screenshot - Point Cloud Setting - Set Colorisation Method to "TEXTURE"
(12) Regard3D Screenshot - View final Model

3D Object for Images[edit]

The source object for with the course will cre== Regard3D ==

Image 1 of your object from multiple angles
Image 2 of your object from multiple angles
Image 3 of your object from multiple angles

Regard3D is an OpenSource photogrammetry software, that creates a 3D model from a bunch of images.

Webbased Demos of Results[edit]

Workflow for Photogrammetry[edit]

Remarks for taking images[edit]

  • It is important to 40 to 60 of images and from multiple angles, to create good quality of the 3D model. More image need more computations time but you will get a better quality of your 3D model.
  • place a structured surface under your object you want to scan. It helps Regard3D to identify spatial link between the set of images (see demo on the right with a chess board like surface the has unique markers on the edges to support identification of 3D geometry). The surface can be removed after the calculation of the 3D model within Regard3D.
  • avoid direct sunlight and shades in your images
  • provide all the images with same constant light (make some corrections e.g. in GIMP)
  • avoid reflections on the objects (remove reflection with GIMP's Clone tool (Youtube)[4] if necessary)

ate a Castle Karlsburg in Karlruhe-Durlach, Germany.

Subsection[edit]

Workflow with Screenshots[edit]

The images on the right show a workflow with Regard3D step by step.

  • (1) Regard3D Start: Start Regard3D,
  • (2) Regard3D-New Project: Create a new project in Regard3D,
  • (3) Regard3D-Add Picture Set: add a set of picutres taken with you digital camera from different angles,
  • (4) Regard3D-Check Camera Sensor Width: after adding the a set of picutres, check in the list by scrolling to the right, if the camera sensor width is available in the camera sensor database. Sensor Width is the last column in the image (so scroll to right)
    • Image File Name
    • Image Size
    • Camera Maker
    • Camera Model
    • Focal Length
    • Sensor Width (required info about camera is coming from the Camera Sensor Database)
  • (5) Regard3D - Compute Matches: Compute Matches tries to identify a common points in different images in the loaded set of images. The reference points are the key info for reconstruction of the 3D model from the set of images.
  • (6) Regard3D - Set Parameters for Key Point Matching: create a triangulation of dense point cloud including texture point cloud.
  • (7) MeshLab; Cleanup the calculated 3D model with MeshLap.

Final Step: Cleaning the Point Cloud (MeshLab)[edit]

  • Removing Artefacts in the point cloud,
  • Noise Removal in the point cloud
  • Optimize the mesh
    • size reduction
    • Texture optimization

The task mentioned above can be performed MeshLab


OpenSource Resources for Learning Resource[edit]

3D Models[edit]

3D Models can be added to a Photogrammetry Model (e.g. vehicles, plants, steam engine...)


See also[edit]

References[edit]

  1. Regard3D Homepage - (accessd 2017/11/18) - http://www.regard3d.org
  2. GIMP Tutorial - Removing an Object from an Image - by Aubrey Watt (2013) - Youtube Video https://www.youtube.com/watch?v=mXV6KKfOBAk
  3. Regard3D Homepage - (accessd 2017/11/18) - http://www.regard3d.org
  4. GIMP Tutorial - Removing an Object from an Image - by Aubrey Watt (2013) - Youtube Video https://www.youtube.com/watch?v=mXV6KKfOBAk