Quality Report

Generated with Pix4Dmapper Pro version 3.2.23

Project Podhorce_mapa_1
Processed 2017-07-13 11:21:27
Camera Model Name(s) FC6310_8.8_5472x3648 (RGB)
Average Ground Sampling Distance (GSD) 2.66 cm / 1.05 in
Area Covered 0.2169 km2 / 21.6873 ha / 0.0838 sq. mi. / 53.6181 acres
Time for Initial Processing (without report) 04h:29m:29s

Quality Check

help Images median of 68612 keypoints per image green
help Dataset 282 out of 282 images calibrated (100%), all images enabled green
help Camera Optimization 0.76% relative difference between initial and optimized internal camera parameters red
help Matching median of 19589.6 matches per calibrated image green
help Georeferencing yes, no 3D GCP yellow



mosaic dsm

Figure 1: Orthomosaic and the corresponding sparse Digital Surface Model (DSM) before densification.

Calibration Details

Number of Calibrated Images 282 out of 282
Number of Geolocated Images 282 out of 282


Initial Image Positions


Figure 2: Top view of the initial image position. The green line follows the position of the images in time starting from the large blue dot.


Computed Image/GCPs/Manual Tie Points Positions

Uncertainty ellipses 5x magnified

Figure 3: Offset between initial (blue dots) and computed (green dots) image positions as well as the offset between the GCPs initial positions (blue crosses) and their computed positions (green crosses) in the top-view (XY plane), front-view (XZ plane), and side-view (YZ plane). Dark green ellipses indicate the absolute position uncertainty of the bundle block adjustment result.


Absolute camera position and orientation uncertainties

X [m]Y [m]Z [m]Omega [degree]Phi [degree]Kappa [degree]



Number of overlapping images: 1 2 3 4 5+

Figure 4: Number of overlapping images computed for each pixel of the orthomosaic.
Red and yellow areas indicate low overlap for which poor results may be generated. Green areas indicate an overlap of over 5 images for every pixel. Good quality results will be generated as long as the number of keypoint matches is also sufficient for these areas (see Figure 5 for keypoint matches).

Bundle Block Adjustment Details

Number of 2D Keypoint Observations for Bundle Block Adjustment 5640806
Number of 3D Points for Bundle Block Adjustment 2289564
Mean Reprojection Error [pixels] 0.144


Internal Camera Parameters


FC6310_8.8_5472x3648 (RGB). Sensor Dimensions: 12.833 [mm] x 8.556 [mm]


EXIF ID: FC6310_8.8_5472x3648

Point x
Point y
R1 R2 R3 T1 T2
Initial Values 3668.759 [pixel]
8.604 [mm]
2736.001 [pixel]
6.417 [mm]
1823.999 [pixel]
4.278 [mm]
0.003 -0.008 0.008 -0.000 0.000
Optimized Values 3640.817 [pixel]
8.539 [mm]
2730.076 [pixel]
6.403 [mm]
1817.809 [pixel]
4.263 [mm]
-0.003 -0.007 0.007 -0.002 -0.000
Uncertainties (Sigma) 0.783 [pixel]
0.002 [mm]
0.549 [pixel]
0.001 [mm]
1.139 [pixel]
0.003 [mm]
0.001 0.002 0.002 0.000 0.000
Correlated Independent F C0x C0y R1 R2 R3 T1 T2 The correlation between camera internal parameters determined by the bundle adjustment. White indicates a full correlation between the parameters, ie. any change in one can be fully compensated by the other. Black indicates that the parameter is completely independent, and is not affected by other parameters.
pixel count The number of Automatic Tie Points (ATPs) per pixel, averaged over all images of the camera model, is color coded between black and white. White indicates that, on average, more than 16 ATPs have been extracted at the pixel location. Black indicates that, on average, 0 ATPs have been extracted at the pixel location. Click on the image to the see the average direction and magnitude of the re-projection error for each pixel. Note that the vectors are scaled for better visualization. The scale bar indicates the magnitude of 1 pixel error.


2D Keypoints Table

Number of 2D Keypoints per Image Number of Matched 2D Keypoints per Image
Median 68612 19590
Min 42993 5210
Max 83897 36194
Mean 67204 20003


3D Points from 2D Keypoint Matches

Number of 3D Points Observed
In 2 Images 1702304
In 3 Images 356032
In 4 Images 121440
In 5 Images 53004
In 6 Images 26216
In 7 Images 13334
In 8 Images 7209
In 9 Images 3894
In 10 Images 2219
In 11 Images 1301
In 12 Images 831
In 13 Images 552
In 14 Images 364
In 15 Images 251
In 16 Images 173
In 17 Images 117
In 18 Images 95
In 19 Images 70
In 20 Images 40
In 21 Images 28
In 22 Images 25
In 23 Images 15
In 24 Images 13
In 25 Images 6
In 26 Images 6
In 27 Images 7
In 28 Images 4
In 29 Images 3
In 30 Images 5
In 31 Images 1
In 32 Images 1
In 34 Images 1
In 39 Images 1
In 44 Images 2


2D Keypoint Matches

Uncertainty ellipses 100x magnified
Number of matches
25 222 444 666 888 1111 1333 1555 1777 2000
Figure 5: Computed image positions with links between matched images. The darkness of the links indicates the number of matched 2D keypoints between the images. Bright links indicate weak links and require manual tie points or more images. Dark green ellipses indicate the relative camera position uncertainty of the bundle block adjustment result.


Relative camera position and orientation uncertainties

X [m]Y [m]Z [m]Omega [degree]Phi [degree]Kappa [degree]

Geolocation Details



Absolute Geolocation Variance

Min Error [m] Max Error [m] Geolocation Error X [%] Geolocation Error Y [%] Geolocation Error Z [%]
- -15.00 0.00 0.00 0.00
-15.00 -12.00 0.00 0.00 0.00
-12.00 -9.00 0.00 0.00 0.00
-9.00 -6.00 0.00 0.00 0.00
-6.00 -3.00 6.74 9.93 0.00
-3.00 0.00 62.77 29.79 47.52
0.00 3.00 19.50 52.84 52.48
3.00 6.00 10.99 7.45 0.00
6.00 9.00 0.00 0.00 0.00
9.00 12.00 0.00 0.00 0.00
12.00 15.00 0.00 0.00 0.00
15.00 - 0.00 0.00 0.00
Mean [m] 0.000000 0.000000 0.000000
Sigma [m] 1.896506 1.973351 0.743836
RMS Error [m] 1.896506 1.973351 0.743836

Min Error and Max Error represent geolocation error intervalsbetween -1.5 and 1.5 times the maximum accuracy of all the images. Columns X, Y, Z show the percentage of images with geolocation errors within the predefined error intervals. The geolocation error is the difference between the intial and computed image positions. Note that the image geolocation errors do not correspond to the accuracy of the observed 3D points.


Relative Geolocation Variance

Relative Geolocation Error Images X [%] Images Y [%] Images Z [%]
[-1.00, 1.00] 98.58 98.23 100.00
[-2.00, 2.00] 100.00 100.00 100.00
[-3.00, 3.00] 100.00 100.00 100.00
Mean of Geolocation Accuracy [m] 5.000000 5.000000 10.000000
Sigma of Geolocation Accuracy [m] 0.000000 0.000000 0.000000

Images X, Y, Z represent the percentage of images with a relative geolocation error in X, Y, Z.

Geolocation Orientational Variance RMS [degree]
Omega 2.276
Phi 2.084
Kappa 3.532

Geolocation RMS error of the orientation angles given by the difference between the initial and computed image orientation angles.

Initial Processing Details


System Information

Hardware CPU: Intel(R) Core(TM) i5-4570 CPU @ 3.20GHz
GPU: NVIDIA GeForce GT 755M (Driver:, RDPDD Chained DD (Driver: unknown), RDP Encoder Mirror Driver (Driver: unknown), RDP Reflector Display Driver (Driver: unknown)
Operating System Windows 7 Home Premium, 64-bit

Coordinate Systems

Image Coordinate System WGS84 (egm96)
Output Coordinate System WGS84 / UTM zone 35N (egm96)

Processing Options

Detected Template   3D Maps
Keypoints Image Scale Full, Image Scale: 1
Advanced: Matching Image Pairs Aerial Grid or Corridor
Advanced: Matching Strategy Use Geometrically Verified Matching: no
Advanced: Keypoint Extraction Targeted Number of Keypoints: Automatic
Advanced: Calibration Calibration Method: Standard
Internal Parameters Optimization: All
External Parameters Optimization: All
Lever-Arm Parameters Optimization: None
Rematch: Auto, yes
Bundle Adjustment: Classic

Point Cloud Densification details


Processing Options

Image Scale multiscale, 1/2 (Half image size, Default)
Point Density Optimal
Minimum Number of Matches 3
3D Textured Mesh Generation yes
3D Textured Mesh Settings: Resolution: Medium Resolution (default)
Color Balancing: no
Advanced: 3D Textured Mesh Settings Sample Density Divider: 1
Advanced: Matching Window Size 7x7 pixels
Advanced: Image Groups group1
Advanced: Use Processing Area yes
Advanced: Use Annotations yes
Advanced: Limit Camera Depth Automatically no
Time for Point Cloud Densification 04h:03m:15s
Time for 3D Textured Mesh Generation 30m:23s


Number of Processed Clusters 2
Number of Generated Tiles 3
Number of 3D Densified Points 36924936
Average Density (per m3) 71.85

DSM, Orthomosaic and Index Details


Processing Options

DSM and Orthomosaic Resolution 1 x GSD (2.67 [cm/pixel])
DSM Filters Noise Filtering: yes
Surface Smoothing: yes, Type: Sharp
Raster DSM Generated: yes
Method: Triangulation
Merge Tiles: yes
Orthomosaic Generated: yes
Merge Tiles: yes
GeoTIFF Without Transparency: no
Google Maps Tiles and KML: no
Grid DSM Generated: yes, Spacing [cm]: 100
Raster DTM Generated: yes
Merge Tiles: yes
DTM Resolution 5 x GSD (2.67 [cm/pixel])
Contour Lines Generation Generated: yes
Contour Base [m]: 20
Elevation Interval [m]: 4
Resolution [cm]: 15
Minimum Line Size [vertices]: 20
Time for DSM Generation 58m:32s
Time for Orthomosaic Generation 12h:34m:51s
Time for DTM Generation 44m:30s
Time for Contour Lines Generation 16s