OBJ (3D Printing)

OBJ (3D Printing) is a specialized exporter which exports OBJ files that are geared towards 3D printing rather than GIS based workflows. This streamlines options for scaling the print to a manageable arbitrary size scaled for printing/CNC with additional solid bottom and sidewall options.

The OBJ file format is a simple data-format that represents 3D geometry alone — namely, the position of each vertex, the UV position of each texture coordinate vertex, vertex normals, and the faces that make each polygon defined as a list of vertices, and texture vertices.

OBJ files may contain texture and material references. The texture may be stored in an external image file (usually *.jpg or *.png) and the material may be defined in a *.MTL file.

OBJ coordinates have no units specified within the format. As with other loaded data, Global Mapper will recognize and use external projection files (like *.prj) that are stored in the same directory with the same filename at the *.OBJ file.

 

Import

For more information on loading OBJ files see Working with 3D Models

OBJ files are stored in a right-handed system.

 

Export

To export an OBJ file, select File > Export > Export 3D Format... then choose OBJ (3D Printing). The layer may also be exported directly by right clicking on the layer in the Control Center and choosing Export in the Layer sub-menu.

This OBJ export option is designed to create small-scale 3D model outputs. This export method is focused on print dimensions and options necessary for a model used in 3D printing.

Model Output Dimensions

  • Choose the direct X and Y print dimensions or measurements for the data, ideally scaled to fit on the bed of a 3D printer. 3D print dimensions are typically scaled to millimeter, centimeters, or inches (specify the unit below).

  • Preserve Horizontal Aspect Ratio: Check this box to maintain the X and Y ratio to prevent horizontal distortion.

  • Units: Only applies to horizontal (X&Y) values.

  • Z Scalar: Vertical Exaggeration. Increase this value for more dramatic elevation changes equally across the dataset. The result is similar to the 3D viewer’s vertical exaggeration option.

Add base and walls extended below lowest elevation: Enable this option to generate a base and sidewalls for the model.

  • Base Thickness (mm): This determines how far below the lowest point in the data the base will be extruded to. Setting this to 0 will create the base at the lowest point. This may create a hole or thin area in your 3D print depending on layer thickness.

Add base to walls: Uncheck this box to only create walls with no base.

ResamplingClosed When the pixels change size due to changes in resolution or reprojection, the resampling method determines how new pixel values are calculated.

  • Nearest Neighbor - simply uses the value of the sample/pixel that a sample location is in. When resampling an image this can result in a stair-step effect, but will maintain exactly the original color values of the source image.
  • Bilinear Interpolation - determines the value of a new pixel based on a weighted average of the 4 pixels in the nearest 2 x 2 neighborhood of the pixel in the original image. The averaging has an anti-aliasing effect and therefore produces relatively smooth edges with less stair-step effect.
  • Bicubic Interpolation - a more sophisticated method that produces smoother edges than bilinear interpolation. Here, a new pixel is a bicubic function using 16 pixels in the nearest 4 x 4 neighborhood of the pixel in the original image. This is the method most commonly used by image editing software, printer drivers, and many digital cameras for resampling images.
  • Box Average (2x2, 3x3, 4x4, 5x5, 6x6, 7x7, 8x8, and 9x9) - the box average methods simply find the average values of the nearest 4 (for 2x2), 9 (for 3x3), 16 (for 4x4), 25 (for 5x5), 49 (for 7x7), 64 (for 8x8), or 81 (for 9x9) ) pixels and use that as the value of the sample location. These methods are very good for resampling data at lower resolutions. The lower the resolution of your export is as compared to the original, the larger "box" size you should use.
  • Filter/Noise/Median (2x2, 3x3, 4x4, 5x5, 6x6, 7x7, 8x8, and 9x9) - the Filter/Noise/Median methods simply find the median values of the nearest 4 (for 2x2), 9 (for 3x3), 16 (for 4x4), 25 (for 5x5), 49 (for 7x7), 64 (for 8x8), or 81 (for 9x9) pixels and use that as the value of the sample location. This resampling function is useful for noisy rasters, so outlier pixels do not contribute to the kernel value. Some common sources of raster noise are previous compression artifacts or irregularities of a scanned map/image.
  • Box Maximum (2x2, 3x3, 4x4, 5x5, 6x6, 7x7, 8x8, and 9x9) - the box maximum methods simply find the maximum value of the nearest 4 (for 2x2), 9 (for 3x3), 16 (for 4x4), 25 (for 5x5), 49 (for 7x7), 64 (for 8x8), or 81 (for 9x9) pixels and use that as the value of the sample location. These methods are very good for resampling elevation data at lower resolutions so that the new terrain surface has the maximum elevation value rather than the average (good for terrain avoidance). The lower the resolution of the export file is as compared to the original, the larger "box" size that should be used.
  • Box Minimum (2x2, 3x3, 4x4, 5x5, 6x6, 7x7, 8x8, and 9x9) - the box minimum methods simply find the minimum value of the nearest 4 (for 2x2), 9 (for 3x3), 16 (for 4x4), 25 (for 5x5), 49 (for 7x7), 64 (for 8x8), or 81 (for 9x9) pixels and use that as the value of the sample location. These methods are very good for resampling elevation data at lower resolutions so that the new terrain surface has the minimum elevation value rather than the average. The lower the resolution of the export file is as compared to the original, the larger "box" size that should be used. 
  • Gaussian  Blur (3x3, 5x5, 7x7) - the Gaussian blur methods calculate the value to be displayed for each pixel based on the nearest 9 (for 3x3), 25 (for 5x5), or 49 (for 7x7) pixels. The calculated value uses the Gaussian formula that weights the values based on the distance to the reference pixel.

The Sample Spacing section allows the user to select the grid spacing to use when generating the file. The default value is the average of the grid spacings of all the currently loaded raster and elevation overlays.

If the Always Generate Square Pixels option is checked, the smaller of the specified x and y resolutions will be used for both the x and y resolution.

Selecting Always Generate Square Pixels ensures that the resultant image file will look good even in software that is not able to deal with pixels that aren't square.

To specify the spacing in units other than those of the currently selected view/ export projection, press the Click Here to Calculate Spacing in Other Units button.

Specify the X and Y spacing of the output pixels in any of the selected units. These pixel dimensions will be translated into the units of the display projection during export. The Use Current Screen Pixel Size button will update the X and Y values to the dimensions of the map display. Use Last Exported Sample Spacing will update the X and Y values to the most recent export resolution.

Interpolate to Fill Small Gaps in Data

Any small areas with missing data will be filled in by interpolating the surrounding valid data. This is useful for filling small gaps between adjacent tiles or small holes in elevation data.

Export to a Z-up Orientation

STL files use Y for the vertical axis designation by convention (Y-Up orientation). Check this option to use Z for the vertical axis.

Export Bounds

3D Mesh features do not support cropping within mesh objects. With a specified export bounds, mesh features inside the export bounds will be exported, uncropped. Mesh features with no part inside the export bound will not be included in the export.

For more information on the bounds specification options see Export Bounds.