Valid result files have been submitted by the following participants:

• Hassen Drira (Telecom Lille LIFL)
• Method 1
• Method 2
• Method 3
• Method 4
• Method 5
• Dirk Smeets (K.U. Leuven)
• Robust PCA Fit 1
• Robust PCA Fit 2
• Huibin li (Ecole Centrale de Lyon)
• Mesh-based Histograms of Multi-Order Differential Quantities 1
• Mesh-based Histograms of Multi-Order Differential Quantities 2
• Mesh-based Histograms of Multi-Order Differential Quantities 3
• Mesh-based Histograms of Multi-Order Differential Quantities 4
• Mesh-based Histograms of Multi-Order Differential Quantities 5
• Stefan van Jole (University Utrecht)
• Morphable Model 1
• Morphable Model 2

These following table shows the performance per run. For every query we calculate the 1st and 2nd tier recall, the average precision and the recognition rate.

Participant	Method	Run	Recall	Mean avg. precision	Recognition Rate
Hassen Drira		1	0.20464285714286	0.211092345169	0.41428571428571
Hassen Drira		2	0.24238095238095	0.24765048535414	0.44285714285714
Hassen Drira		3	0.20952380952381	0.21016383053213	0.31428571428571
Hassen Drira		4	0.22	0.22237119082463	0.41428571428571
Hassen Drira		5	0.21857142857143	0.2212338056765	0.41428571428571
Dirk Smeets	RobustPCAfit	1	0.68369047619048	0.7028562295221	0.88571428571428
Dirk Smeets	RobustPCAfit	2	0.6122619047619	0.61898997145564	0.8
Huibin LI	MBHMODQ	1	0.39630952380952	0.40191849517641	0.85714285714286
Huibin LI	MBHMODQ	2	0.4572619047619	0.45362629542161	0.9
Huibin LI	MBHMODQ	3	0.47809523809524	0.47578273298961	0.92857142857143
Huibin LI	MBHMODQ	4	0.40190476190476	0.39568152442778	0.85714285714286
Huibin LI	MBHMODQ	5	0.37369047619048	0.36387796787599	0.77142857142857
Stefan van Jole	MM	1	0.19666666666667	0.19078356573838	0.41428571428571
Stefan van Jole	MM	2	0.1947619047619	0.18239846752085	0.38571428571429

Here you can find the results per query

You can find the classes per query here.