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Table 2 Performance of 3D point cloud reconstruction

From: High-precision vision-based mobile augmented reality system for context-aware architectural, engineering, construction and facility management (AEC/FM) applications

Data set

System

Number of registered images/

Elapsed time

  

Number of base images

 

Parking garage

HD4AR with FREAK

125 / 143

36.73 mins (×17.25)

 

HD4AR with SURF

138 / 143

42.01 mins (×15.08)

 

Bundler package*

143 / 143

633.63 mins (×1)

Center for the arts

HD4AR with FREAK

125 / 125

9.25 mins (×19.67)

 

HD4AR with SURF

125 / 125

12.49 mins (×14.57)

 

Bundler package*

125 / 125

181.95 mins (×1)

Norris hall

HD4AR with FREAK

50 / 50

2.62 mins (×27.53)

 

HD4AR with SURF

50 / 50

3.27 mins (×22.06)

 

Bundler package*

50 / 50

72.13 mins (×1)

Patton hall

HD4AR with FREAK

37 / 44

3.78 mins (×34.71)

 

HD4AR with SURF

43 / 44

4.80 mins (×27.34)

 

Bundler package*

44 / 44

131.22 mins (×1)

  1. *A widely-used software package for SfM (Snavely et al. 2007).