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Table 3 Performance of localization

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

Data set

System

Localization success-ratio

Average localization time

Parking garage

HD4AR with FREAK

100% (50 / 50)

5.42 sec (×19.94)

 

HD4AR with SURF

100% (50 / 50)

6.42 sec (×16.84)

   

18.45 sec (×5.86)**

 

Bundler package*

100% (50 / 50)

108.10 sec (×1)

Center for the arts

HD4AR with FREAK

95.38% (62 / 65)

3.17 sec (×29.40)

 

HD4AR with SURF

98.46% (64 / 65)

3.47 sec (×26.86)

   

16.02 sec (×5.82)**

 

Bundler package*

100% (65 / 65)

93.20 sec (×1)

Norris hall

HD4AR with FREAK

100% (25 / 25)

4.98 sec (×7.51)

 

HD4AR with SURF

100% (25 / 25)

10.74 sec (×3.48)

   

13.31 sec (×2.81)**

 

Bundler package*

100% (25 / 25)

37.38 sec (×1)

Patton hall

HD4AR with FREAK

100% (25 / 25)

6.33 sec (×5.10)

 

HD4AR with SURF

100% (25 / 25)

10.07 sec (×3.20)

   

24.56 sec (×1.31)**

 

Bundler package*

100% (25 / 25)

32.26 sec (×1)

  1. *A widely-used software package for SfM (Snavely et al. 2007).
  2. **The result using our previous approach (Bae et al. 2012).