Publications

@inproceedings{essmaeelTemporalDenoisingKinect2012,

title = {Temporal Denoising of Kinect Depth Data},

author = { Kyis Essmaeel and Luigi Gallo and Ernesto Damiani and Giuseppe De Pietro and Albert Dipanda},

doi = {10.1109/SITIS.2012.18},

isbn = {978-1-4673-5152-2},

year  = {2012},

date = {2012-01-01},

booktitle = {SITIS '12: Eighth International Conference on Signal Image Technology and Internet Based Systems},

pages = {47--52},

publisher = {IEEE},

address = {Sorrento, Italy},

abstract = {The release of the Microsoft Kinect has attracted the attention of researchers in a variety of computer science domains. Even though this device is still relatively new, its recent applications have shown some promising results in terms of replacing current conventional methods like the stereo-camera for robotics navigation, multi-camera system for motion detection and laser scanner for 3D reconstruction. While most work around the Kinect is on how to take full advantage of its capabilities, so far only a few studies have been carried out on the limitations of this device and fewer that provide solutions to enhance the precision of its measurements. In this paper, we review and analyse current work in this area, and present and evaluate a temporal denoising algorithm to reduce the instability of the depth measurements provided by the Kinect over different distances.},

keywords = {Depth instability, Kinect, Smoothing, Temporal denoising},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{essmaeel_temporal_2012,

title = {Temporal denoising of Kinect depth data},

author = {Kyis Essmaeel and Luigi Gallo and Ernesto Damiani and Giuseppe De Pietro and Albert Dipanda},

doi = {10.1109/SITIS.2012.18},

isbn = {978-1-4673-5152-2},

year  = {2012},

date = {2012-01-01},

booktitle = {SITIS '12: Eighth International Conference on Signal Image Technology and Internet Based Systems},

pages = {47–52},

publisher = {IEEE},

address = {Sorrento, Italy},

abstract = {The release of the Microsoft Kinect has attracted the attention of researchers in a variety of computer science domains. Even though this device is still relatively new, its recent applications have shown some promising results in terms of replacing current conventional methods like the stereo-camera for robotics navigation, multi-camera system for motion detection and laser scanner for 3D reconstruction. While most work around the Kinect is on how to take full advantage of its capabilities, so far only a few studies have been carried out on the limitations of this device and fewer that provide solutions to enhance the precision of its measurements. In this paper, we review and analyse current work in this area, and present and evaluate a temporal denoising algorithm to reduce the instability of the depth measurements provided by the Kinect over different distances.},

keywords = {Depth instability, Kinect, Smoothing, Temporal denoising},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{galloSmoothedPointingUserFriendly2010,

title = {Smoothed Pointing: A User-Friendly Technique for Precision Enhanced Remote Pointing},

author = { Luigi Gallo and Mario Ciampi and Aniello Minutolo},

doi = {10.1109/CISIS.2010.76},

isbn = {978-1-4244-5917-9},

year  = {2010},

date = {2010-02-01},

booktitle = {2010 International Conference on Complex, Intelligent and Software Intensive Systems (CISIS)},

pages = {712--717},

publisher = {IEEE Computer Society},

address = {Krakow, Poland},

abstract = {This paper presents Smoothed Pointing, a velocity-based precision enhancing technique for remote pointing by means of absolute devices. After discussing the most recent related work concerning the problem of accuracy in remote pointing by handheld input devices, we introduce the distinctive features of the Control-Display adaptation technique we have designed to: i) reduce the effect of both noise in input device signals and of hand tremors on the cursor stability; and ii) increase the accuracy of pointing when performed on large, high resolution displays. Moreover, we describe a 10 second calibration procedure to determine the filtering parameters, so as to free the user from a manual set up.},

keywords = {C-D ratio, Pointing, Smoothing, Wiimote},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{gallo_smoothed_2010,

title = {Smoothed Pointing: a User-Friendly Technique for Precision Enhanced Remote Pointing},

author = {Luigi Gallo and Mario Ciampi and Aniello Minutolo},

doi = {10.1109/CISIS.2010.76},

isbn = {978-1-4244-5917-9},

year  = {2010},

date = {2010-02-01},

booktitle = {2010 International Conference on Complex, Intelligent and Software Intensive Systems (CISIS)},

pages = {712–717},

publisher = {IEEE Computer Society},

address = {Krakow, Poland},

abstract = {This paper presents Smoothed Pointing, a velocity-based precision enhancing technique for remote pointing by means of absolute devices. After discussing the most recent related work concerning the problem of accuracy in remote pointing by handheld input devices, we introduce the distinctive features of the Control-Display adaptation technique we have designed to: i) reduce the effect of both noise in input device signals and of hand tremors on the cursor stability; and ii) increase the accuracy of pointing when performed on large, high resolution displays. Moreover, we describe a 10 second calibration procedure to determine the filtering parameters, so as to free the user from a manual set up.},

keywords = {C-D ratio, Pointing, Smoothing, Wiimote},

pubstate = {published},

tppubtype = {inproceedings}

}