After adding images to the project, the next step in 3DSOM Pro is to mask the images (normal shots) if they are not pre-masked PNGs. Masking the images refers to the process of marking the background around the object, so that 3DSOM Pro knows where the object is within the images. This section of the User Guide explains how to automatically mask images within 3DSOM Pro and how to work with masked images.
The Edit Masks Window section explains how to use 3DSOM Pro to manually edit a single mask. The Creating or editing masks in an external application tutorial shows how you can use your usual image editing software to edit the masks externally.
If your images are proving difficult to mask, you may wish to mask just a few key views (such as front, left, right, back views) and rely on the point data generated using the Point Cloud Wizard .
When you launch the wizard you are asked about your backdrop
setup. Select one of the two options:
The button is initially selected.
Select the button again and paint any interior "hole" regions in the mask. You should make sure that there is an unpainted area in the hole center so 3DSOM Pro knows to grow a mask hole inside - either use a smaller brush where needed or unpaint using the button.
Use the button mode to improve masking e.g. where you have accidentally included a dot on the mat as part of the object. Simply "unpaint" part of the dot so it becomes part of the background when previewed.
Hit the button when you have a reasonable mask. Then keep masking the photos until you have around 10 completed masks and then hit Close. For simple objects you can get away with fewer masks. More complex objects with holes, overhangs etc will benefit from more masks.
If you want to discard all the existing masks on your images then select the "Replace any existing masks" option. Unselect this option if some images have had their masks manually edited to prevent 3DSOM Pro from over-writing the edits.
You should select the "Use colour normalisation" option if you used a coloured backdrop and have shadows or other slight variations of lighting on the backdrop in the images. This will attempt to compensate for the shadows and avoid treating them as part of the object.
The "Background detection threshold" field lets you change the threshold that is used to separate the foreground from the background. You should only change this from the default value if you have problems generating the masks (see below).
The Preview button can be used to interactively preview the result on the currently selected image. Once you clicked the button, use the slider to interactively vary the threshold. You can also switch preview image by double-clicking a thumbnail.
Hit the button to start the masking process.
If you have an image loaded into the Edit Masks Window while you are performing automasking you will see each image displayed as it is masked.
It is important that none of the object is covered by the masked area in any of the images, otherwise some of the object will be carved away when you create the wireframe geometry. It is less important that all of the background is masked, since 3DSOM Pro will often be able to use information from other images to define the shape of the object.
The automatic masking requires a good contrast between the background and object; a good choice of background colour will result in much better automatic masking. Lighting can also affect the results of automatic masking.
If you are not happy with your masks, click Mask Generation Window and try changing the parameter values. If areas of the background are consistently not being masked then increase the "Background detection threshold". If regions of the object are being incorrectly masked then reduce this number. button to return to the
You can use interactive masking on an representative mask to help you pick a threshold value then apply it to all the other images as described in the Fine tuning the auto-masking tutorial.
When you are finished, click the Mask Wizard. button to close the
In some cases the automatic masking of an image may not be perfect; but this is not a problem as the masked images can be improved individually as explained in the Fine tuning the auto-masking tutorial.
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