Characterizations of noise in Kinect depth images: A review
In this paper, we characterize the noise in Kinect depth images based on multiple factors
and introduce a uniform nomenclature for the types of noise. In the process, we briefly …
and introduce a uniform nomenclature for the types of noise. In the process, we briefly …
Punching holes in light: recent progress in single-shot coded-aperture optical imaging
J Liang - Reports on Progress in Physics, 2020 - iopscience.iop.org
Single-shot coded-aperture optical imaging physically captures a code-aperture-modulated
optical signal in one exposure and then recovers the scene via computational image …
optical signal in one exposure and then recovers the scene via computational image …
HDL-PSR: Modelling spatio-temporal features using hybrid deep learning approach for post-stroke rehabilitation
Physiotherapy exercises like extension, flexion, and rotation are an absolute necessity for
patients of post stroke rehabilitation (PSR). A physiotherapist uses many techniques to …
patients of post stroke rehabilitation (PSR). A physiotherapist uses many techniques to …
Challenges in multi-modal gesture recognition
This paper surveys the state of the art on multimodal gesture recognition and introduces the
JMLR special topic on gesture recognition 2011–2015. We began right at the start of the …
JMLR special topic on gesture recognition 2011–2015. We began right at the start of the …
Intangible cultural heritage and new technologies: challenges and opportunities for cultural preservation and development
M Alivizatou-Barakou, A Kitsikidis… - Mixed reality and …, 2017 - Springer
Intangible cultural heritage (ICH) is a relatively recent term coined to represent living cultural
expressions and practices, which are recognised by communities as distinct aspects of …
expressions and practices, which are recognised by communities as distinct aspects of …
Heterogeneous computing model for post‐injury walking pattern restoration and postural stability rehabilitation exercise recognition
The research paper presents the heterogeneous computing model for analysis & restoration
of human walking deformity and posture instability. Gait‐related walking activities are very …
of human walking deformity and posture instability. Gait‐related walking activities are very …
Estimating human motion from multiple kinect sensors
Human motion estimation is a topic receiving high attention during the last decades. There is
a vast range of applications that employ human motion tracking, while the industry is …
a vast range of applications that employ human motion tracking, while the industry is …
Improved skeleton tracking by duplex kinects: A practical approach for real-time applications
KY Yeung, TH Kwok… - … of Computing and …, 2013 - asmedigitalcollection.asme.org
Recent development of per-frame motion extraction method can generate the skeleton of
human motion in real-time with the help of RGB-D cameras such as Kinect. This leads to an …
human motion in real-time with the help of RGB-D cameras such as Kinect. This leads to an …
[HTML][HTML] A new framework for sign language alphabet hand posture recognition using geometrical features through artificial neural network (part 1)
Hand pose tracking is essential in sign languages. An automatic recognition of performed
hand signs facilitates a number of applications, especially for people with speech …
hand signs facilitates a number of applications, especially for people with speech …
On the use of multi-depth-camera based motion tracking systems in production planning environments
In order to keep up with changing market demands like highly individualized products,
automotive OEMs are facing these new requirements with mass-customization and more …
automotive OEMs are facing these new requirements with mass-customization and more …