Quality report - PIX4Dmatic

The horizontal and vertical coordinate system used for processing.

When the vertical coordinate reference system is not specified, the base ellipsoid of the horizontal coordinate is used. 

The number of points in the Dense point cloud of the project.

The median of matches per calibrated image.

Keypoints Image Scale > 1/2: More than 1,000 matches have been computed per calibrated image.
Keypoints Image Scale ≤ 1/2: More than 100 matches have been computed per calibrated image.

Keypoints Image Scale > 1/2: Between 100 and 1,000 matches have been computed per calibrated image.
Keypoints Image Scale ≤ 1/2: Between 50 and 100 matches have been computed per calibrated image.

Keypoints Image Scale > 1/2: Less than 100 matches have been computed per calibrated image.
Keypoints Image Scale ≤ 1/2: Less than 50 matches have been computed per calibrated image.

The percentage of images that have been calibrated as well as the number of images that have been used for the reconstruction of the model with respect to the total number of the images in the project.

More than 95% of enabled images are calibrated in one block.

Between 75% and 95% of enabled images are calibrated.

Less than 75% of enabled images are calibrated.

The percentage of difference between initial and optimized focal length is less than 5%.

The percentage of difference between initial and optimized focal length is between 5% and 20%.

The percentage of difference between initial and optimized focal length is more than 20%.

The GCP Mean RMS position error is equal to or less than 1.5 times the average GSD.

The GCP Mean RMS position error is less than or equal to 2.5 times the average GSD.

The GCP Mean RMS position error is more than 2.5 times the average GSD.

if statistics are not available.

The Checkpoint Mean RMS position error is less than 1.5 times the average GSD.

The Checkpoint Mean RMS position error is more than 2.5 times the average GSD.

The Checkpoint Mean RMS position error is more than 2.5 times the average GSD.

if statistics are not available..

The MTP mean reprojection error is lower or equal to 1 pixel.

The MTP mean reprojection error is lower or equal to 3 pixels.

The MTP mean reprojection error is greater than 3 pixels.

if statistics are not available..

The aITP mean reprojection error is lower or equal to 1 pixel.

The aITP mean reprojection error is lower or equal to 3 pixels.

The aITP mean reprojection error is greater than 3 pixels.

if statistics are not available..

The mITP mean reprojection error is lower or equal to 1 pixel.

The mITP mean reprojection error is lower or equal to 3 pixels.

The mITP mean reprojection error is greater than 3 pixels.

if statistics are not available.

The ATP mean reprojection error is lower or equal to 1 pixel.

The ATP mean reprojection error is lower or equal to 3 pixels.

 The ATP mean reprojection error is greater than 3 pixels.

if statistics are not available.

The ATP mean reprojection error is lower or equal to 1 pixel.

The ATP mean reprojection error is lower or equal to 3 pixels.

 The ATP mean reprojection error is greater than 3 pixels.

if statistics are not available.

Blue - Indicates the initial position of a camera as extracted from the image EXIF, or image geolocation file.

Green - Indicates a computed position of a camera after the calibration or re-optimization step has been completed.

Red - Uncalibrated camera position (failed to calibrate).

Computed camera positions with links between matched cameras. The opacity of the links indicates the number of matched 2D keypoints between the cameras. Near-transparent links indicate weak links and require manual tie points or more cameras. The different colors identify the distinct calibration blocks. To improve visibility, camera positions may be slightly shifted and multiple cameras may be grouped into a single point on the plot. Group of multiple cameras is indicated by a larger point on the plot.

Image of the Digital Surface Model (DSM) created after the DSM step is completed.

It shows the template that can be selected according to the dataset imported for processing:

• Large scale and corridor: Utilizes the Scalable standard pipeline to generate 2D and 3D reconstructions of an area of interest.
• Flat scene and low texture: Utilizes the Low texture planar pipeline to generate 2D and 3D reconstructions of an area of interest that contains relatively homogenous textures and relatively flat terrain, like an agricultural field.
• Map: Utilizes the Standard pipeline to generate 2D and 3D reconstructions of a relatively large area of interest, requiring more processing time.
• Model: Utilizes the Standard pipeline to generate 3D reconstructions of an object of interest with images captured around the object of interest.
• PIX4Dcatch: Utilizes the Trusted location and orientation pipeline to generate reconstructions of an area or object of interest with images captured with PIX4Dcatch or images from RTK or PPK drones or devices.
• Interior Scene: Utilizes the Trusted location and orientation pipeline to generate reconstructions of an interior scene or area. For interior projects captured with the PIX4Dcatch mobile application and calibrated with ITPs.

For more information see Calibration - PIX4Dmatic.

It shows the pipeline that can be selected according to the dataset used for processing:

• Scalable standard: Sequential pipeline that enhances image calibration for large datasets and fast processing.
• Standard: Similar to Scalable Standard, but more robust. It requires more processing time, and uses more PC resources.
• Low texture planar: Intended for aerial nadir images with accurate geolocation and homogeneous or repetitive content of relatively flat terrain.
• Trusted location and orientation: Intended for projects with accurate relative location and IMU data; for example, images taken with PIX4Dcatch in an indoor or outdoor setting or images from RTK or PPK drones or devices. All images must include information about the camera's initial position and orientation.

For more information see Calibration - PIX4Dmatic.

• 1: Original image size.
• 1/2: Half image size.
• 1/4: Quarter image size.
• 1/8: Eighth image size.

For more information, see Processing options - Image Scale.

• Automatic: Keypoints parameter set to Auto.
• Value: The value of Keypoints > Custom parameter set for processing.

For more information, see Processing options - Keypoints.

• Low: Optimizes all the internal camera parameters.
• High: Forces the internal parameters to be close to the initial values.

For more information see Processing options - Internals confidence.

When enabled PIX4Dmatic generates and matches structural line intersections between images:

• Enabled.
• Disabled.

For more information, see Automatic ITPs - PIX4Dmatic

When enabled PIX4Dmatic computes more matches between images and optimizes the internal and external camera parameters:

• Enabled.
• Disabled.

• Hardware accelerated (Default): The densification will be computed using a GPU-capable algorithm. This option can contribute to reduced processing time.
• Standard: The densification will be computed using the standard algorithm.

For more information, see Algorithm - Dense point cloud - PIX4Dmatic.

• Image Scale defines the scale of the images at which additional 3D points are computed.
• Disabled.

For more information, see Processing options - Image scale.

• Enabled.
• Disabled.

For more information, see Processing options - Multiscale.

• Optimal (default): A 3D point is computed for every 8th pixel of the original image. 
• High: A 3D point is computed for every 2nd pixel of the original image.
• Low: A 3D point is computed for every 32rd pixel of the original image. The final point cloud is computed up to 4 times faster and uses up to 4 times less RAM than Optimal density.

For more information, see Processing options - Density.

For more information, see Processing options - Minumum matches.

• Enabled.
• Disabled.

For more information, see Processing options - Noise filter.

• Enabled.
• Disabled.

For more information, see Processing options - Sky filter.

It defines which point cloud is selected as the input point cloud for the Mesh generation:

• Dense
• Depth
• Depth & dense fusion

For more information, see Processing options - Input point cloud. 

It shows the template that can be selected according to the different types of datasets imported for processing:

• Aerial: For scenes with larger extent. Typically drone flight size projects.
• PIX4Dcatch: For projects with limited extent. Typically hand-held captures with PIX4DCatch.
• Thin structures: For projects that include thin structures, i.e., cables, powerline tower structures, antennas.

For more information, see Processing options - Template.

Texture Size (1024x1024 - 32768x32768 pixels, default 8192x8192 pixels).

For more information, see Processing options - Texture size. 

This option can be used for soft or aggressive outlier detection. It can be useful for complex geometries during mesh creation:

• Weak (default)
• Strong

For more information, see Processing options - Deghosting. 

• Limit triangle count.

The maximum number of triangles in the final Mesh, by default 1.000.000 triangles.

For more information, see Processing options - Decimation.

• Enabled.
• Disabled.

For more information, see Processing options - Sky mask.

• Enabled 
• Disabled

Applies smoothing to the generated mesh.

This processing option defines which point cloud is used for the DSM generation:

• Dense point cloud.
• Depth point cloud. 
• Depth & dense fusion.

• Enabled (default), the entire area of the DSM is filled.
• Disabled, only areas where the dense point cloud is generated are reconstructed in the DSM model. 

For more information, see Processing options - Interpolation.

For more information, see Processing options - Surface smoothing.

It defines the orthomosaic creation algorithms:

• Standard (default): The orthomosaic is created using the standard algorithm.
• Hardware accelerated: The orthomosaic is created using a GPU-capable algorithm. This option contributes to reduced processing time.

For more information, see Processing options - Algorithm.

This option improves the orthomosaic for oblique projects:

• Disabled (default). 
• Enabled.

For more information, see Processing options - Oblique.

This option removes objects that move during the flight when generating the orthomosaic:

• Disabled (default).
• Enabled.

For more information, see Processing options - Deghosting.