Evaluating a dancer’s performance using kinect-based skeleton tracking- by Alexiadis, Dimitrios S.; Kelly, Philip; Daras, Petros; O'Connor, Noel E.; Boubekeur, Tamy & Moussa, Maher BenProceedings of the 19th ACM international conference on Multimedia01 Jan 2011
We describe a novel system that automatically evaluates dance performances against a gold-standard performance.
Real-Time, Full 3-D Reconstruction of Moving Foreground Objects From Multiple Co- by Alexiadis, D.S.; Zarpalas, D.; Daras, P.Multimedia, IEEE Transactions on01 Jan 2013
We present a multiple-Kinect capturing system for the creation of accurate, realistic 3-D models of moving objects.
Reconstruction for 3D immersive virtual environments- by Alexiadis, D.S.; Kordelas, G.; Apostolakis, K. C.; Agapito, J. D.; Vegas, J.M.; Izquierdo, E.; Daras, P.Image Analysis for Multimedia Interactive Services (WIAMIS), 2012 13th International Workshop on01 Jan 2012
The paper focuses on techniques for the real-time, 3D reconstruction of moving humans from multiple Kinect devices.
Putting your best foot forward: investigating real-world mappings for foot-based- by Alexander, Jason; Han, Teng; Judd, William; Irani, Pourang & Subramanian, SriramProceedings of the SIGCHI Conference on Human Factors in Computing Systems01 Jan 2012
Investigates suitable real-world mappings of foot gestures to invoke commands and interact with virtual workspaces.
CAD-model recognition and 6DOF pose estimation using 3D cues- by Aldoma, A.; Vincze, M.; Blodow, N.; Gossow, D.; Gedikli, S.; Rusu, R.B.; Bradski, G.Computer Vision Workshops (ICCV Workshops), 2011 IEEE International Conference on01 Jan 2011
This paper focuses on developing a fast and accurate 3D feature for use in object recognition and pose estimation.
Supervised learning of hidden and non-hidden 0-order affordances and detection i- by Aldoma, A.; Tombari, F.; Vincze, M.Robotics and Automation (ICRA), 2012 IEEE International Conference on01 Jan 2012
We show how 0-order affordances depending on the geometry and pose of objects can be learned.
Connected operators on 3D data for human body analysis- by Alcoverro, M.; Lopez-Mendez, A.; Pardas, M.; Casas, J.R.Computer Vision and Pattern Recognition Workshops (CVPRW), 2011 IEEE Computer Society Conference on01 Jan 2011
This paper presents a novel method for filtering and extraction of human body features from 3D data.
Who is who at different cameras: people re-identification using depth cameras- by Albiol, A.; Albiol, A.; Oliver, J.; Mossi, J.M.Computer Vision, IET01 Jan 2012
This study proposes the concept of bodyprints to perform re-identification of people in surveillance videos.
Movement qualities as interaction modality- by Alaoui, Sarah Fdili; Caramiaux, Baptiste; Serrano, Marcos & Bevilacqua, FredericProceedings of the Designing Interactive Systems Conference01 Jan 2012
In this paper, we explore the use of movement qualities as interaction modality.
Collision Avatar (CA): Adding collision objects for human body in augmented real- by Aitpayev, K.; Gaber, J.Application of Information and Communication Technologies (AICT), 2012 6th International Conference on01 Jan 2012
Improvement of real and virtual world interaction in real-time by uses of Kinect.