300-W 2013 - 300 Faces in-the-Wild Challenge (300-W)
Topics/Call fo Papers
Automatic facial landmark detection is a longstanding problem in computer vision, and 300-W Challenge is the first event of its kind organized exclusively to benchmark the efforts in the field. The particular focus is on facial landmark detection in real-world datasets of facial images captured in-the-wild. The results of the Challenge will be presented at the 300-W Faces in-the-Wild Workshop to be held in conjunction with ICCV 2013.
A special issue of Image and Vision Computing Journal will present the best performing methods and summarize the results of the Challenge.
The 300-W Challenge
Landmark annotations (following the Multi-PIE [1] 68 points mark-up, please see Fig. 1) for four popular data sets are available from http://ibug.doc.ic.ac.uk/resources/300-W. All participants in the Challenge will be able to train their algorithms using these data. Performance evaluation will be carried out on 300-W test set, using the same Multi-PIE mark-up, and the same face-bounding box initialization.
A special issue of Image and Vision Computing Journal will present the best performing methods and summarize the results of the Challenge.
The 300-W Challenge
Landmark annotations (following the Multi-PIE [1] 68 points mark-up, please see Fig. 1) for four popular data sets are available from http://ibug.doc.ic.ac.uk/resources/300-W. All participants in the Challenge will be able to train their algorithms using these data. Performance evaluation will be carried out on 300-W test set, using the same Multi-PIE mark-up, and the same face-bounding box initialization.
Other CFPs
- 2nd International Workshop on Large-Scale Video Search and Mining (LSVSM)
- 2nd International Workshop on Dynamic Shape Capture and Analysis (4DMOD)
- International Workshop on Graphical Models for Scene Understanding: Challenges and Perspectives
- 3rd IEEE Workshop on Consumer Depth Cameras for Computer Vision
- First International Workshop on Computer Vision for Autonomous Driving
Last modified: 2013-07-28 14:32:05