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Prevu3D

Supported Formats

Prevu3D supports processing drone imagery to generate point clouds and mesh models. To ensure a successful reconstruction, it is important to understand the data formats and metadata required by the pipeline. By preparing your dataset correctly before upload, you will obtain sharper textures, better alignment, and higher-quality geometry.

Image Formats

Section titled “Image Formats”

Prevu3D supports standard aerial photos in the following formats:

  • JPEG (.jpg)

  • TIFF (.tif / .tiff)

Required Metadata

Section titled “Required Metadata”

All images must include EXIF metadata with at least:

  • GPS position (latitude, longitude, altitude)

  • Camera orientation (yaw, pitch, roll)

  • Timestamp

  • Camera intrinsic parameters (focal length, sensor width, etc., if provided by the drone)

This metadata is essential for image alignment and accurate reconstruction.

Image Quality Requirements

Section titled “Image Quality Requirements”

The quality of the reconstruction depends heavily on the quality of the source photos.

Overlap (Very Important)

Section titled “Overlap (Very Important)”

To align images correctly, your dataset should have:

  • Front overlap: 75—85 percent

  • Side overlap: 60—80 percent

Higher overlap is especially important when capturing:

  • Vertical structures

  • Complex rooftops

  • Narrow corridors

  • Vegetation

  • Long linear assets

Sharpness & Exposure

Section titled “Sharpness & Exposure”

Ensure the following:

  • No motion-blur

  • No focus issues

  • Consistent exposure

  • Avoid extremely bright or dark images

  • Avoid low-light flights unless using a stabilized camera with proper exposure settings

Flight Orientation: Nadir vs. Oblique

Section titled “Flight Orientation: Nadir vs. Oblique”

Both nadir (camera pointing straight down) and oblique (angled) imagery are supported.

  • Nadir is suitable for open areas, orthomosaics, and flat-terrain mapping.

  • Oblique captures façades, vertical structures, and complex assets with greater completeness.

By default, the pipeline assumes oblique capture unless otherwise specified in the configuration file.

Ground Control Points (GCPs)

Section titled “Ground Control Points (GCPs)”

Prevu3D supports optional Ground Control Points to improve geospatial accuracy and strengthen alignment.

Supported GCP Target Types

Section titled “Supported GCP Target Types”

We currently support automatic detection of three target shapes:

  1. Square targets

  2. Diagonal (checker-style) targets

  3. AeroPoints

If your GCPs use one of these types, the system can automatically detect them in the images.

GCP CSV File

Section titled “GCP CSV File”

If GCPs are used, you can upload a CSV file without a header row.
The CSV must follow the expected structure:

  • GCP name

  • Easting / X

  • Northing / Y

  • Elevation / Z

Here is a template as reference: GCP_Template_2025_11_17.csv

Configuration File (JSON)

Section titled “Configuration File (JSON)”

You may also upload an optional JSON configuration file to specify:

  • The capture input type ("default_oblique", "default_nadir")

  • The horizontal coordinate system (EPSG)

  • The vertical coordinate system (EPSG)

  • Optional geoid model for elevation corrections

Here is a template as reference: Config_Template_2025_11_17.json

This configuration file allows you to ensure correct georeferencing and alignment when working with survey-grade datasets or mixed sources.