3D depth data has turned out to be a key information source for solving a large number of challenging applications. In the past substantial advances have been demonstrated to process, analyze, and interpret depth data. Through the recent development in consumer depth cameras, in particular the low-cost Kinect, a new era of depth data analysis emerges. Affordable depth cameras are changing the landscape of computer vision and related research fields, with profound impact far beyond the consumer electronics. The purpose of this workshop is to timely address the challenges in advanced depth acquisition techniques, processing and analyzing depth data, and solving novel and challenging real tasks. The workshop will bring together researchers from multiple subfields to discuss the major research problems and opportunities of the emerging depth camera revolution.

The scope of this workshop includes, but not limited to, the following topics:

Depth acquisition techniques
Processing of depth data
Analysis of depth data
Fusion of depth data with other modalities
3D object recognition
3D shape modeling and retrieval
3D biometrics
3D imaging for cultural heritage applications
Human action recognition in depth data
3DTV, e.g. Depth-Based Image Rendering
Augmented reality / mixed reality
Biomedical applications of depth data
Other applications of depth data analysis
Depth datasets
Depth data visualization

All accepted papers will be made available online at the time of workshop. In addition, post-workshop proceedings with revised version of the papers will be published as an LNCS book by Springer.