PRL 2013 - Pattern Recognition Letters Special Issue on Depth Image Analysis

Guest editors:
Dmitry Goldgof, University of South Florida, Tampa, USA (goldgof-AT-cse.usf.edu)
Xiaoyi Jiang, University of Münster, Germany (xjiang-AT-math.uni-muenster.de)
Olga Bellon, Universidade Federal do Parana, Curitiba, Brazil (olga-AT-ufpr.br)
Takeshi Oishi, University of Tokyo, Japan (oishi-AT-cvl.iis.u-tokyo.ac.jp)
Call for papers
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 special issue is to timely address the challenges in advanced depth acquisition techniques, processing and analyzing depth data, and solving novel and challenging applications. The scope of this special issue includes, but not limited to, the following areas:
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
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