![]() Experiments on depth captured from a noisy sensor (Microsoft Kinect) shows superior Rate-Distortion performance over the 3D extension of HEVC codec. Also presented is a unique method to encode depth based on its segmented planar representation. While all prior works based on this approach remain restricted to images only and under noise-free conditions, this paper presents an efficient solution to planar segmentation in noisy depth videos. The segmentation algorithm is based on Markov Random Field assumptions on depth data and solved using Graph Cuts. This paper presents a method for coding depth videos, captured from mobile RGB-D sensors, by planar segmentation. While there exist Video Coding Standards such as HEVC and H.264/AVC for compression of RGB/texture component, the coding of depth data is still an area of active research. Given the large number of smartphone users, efficient storage and transmission of RGB-D data is of paramount interest to the research community. Wozniak P, Vauderwange O, Mandal A, Javahiraly N, Curticapean D (2016) Possible applications of the LEAP motion controller for more interactive simulated experiments in augmented or virtual reality.Augmented Reality applications are set to revolutionize the smartphone industry due to the integration of RGB-D sensors into mobile devices. J Appl Sci Eng Technol 8(11):1384–1388įeng L, Ng G, Ma L (2020) Personalized clothing customization system solution using augmented reality technology. Fabrice MeriaudeauĪli AS, Mostafa RM, Elmisery F (2014) Motion control of robot by using kinect sensor. Phys Sens 19(5)Ĭapilla DM (2012) Sign language translator using Microsoft Kinect XBOX 360. Guzsvinecz T, Szucs V, Sik-Lanyi C (2019) Suitability of the kinect sensor and leap motion controller-a literature review. (Microsoft Research) Retrieved from Youtube: Microsoft Research (2016) Teaching Kinect to read your hands. Leap Motion (2014) How does the leap motion controller work? Retrieved from Leap Motion Blog: In: International conference for intelligence technologies for interactive entertainment, Politecnico di Torino, p 3 Invitto S, Sammarco S, Faggiano C, De Luca V (2015) Interactive entertainment, virtual motion training and brain ergonomy. ![]() Jin H, Chen Q, Chen Z, Hu Y (2016) Multi-LeapMotion sensor based demonstration for robotic refine tabletop object manipulation task. In: International conference on computational intelligence & data science (ICCIDS 2018), vol 132, pp 551–556 Sharma A, Yadav A, Srivastava S, Gupta R (2018) Analysis of movement and gesture recognition using Leap Motion Controller. In: Proceedings of the 20th congress of the international ergonomics association, p 533 PLoS ONE 13(7)īagnara S, Tartaglia R, Albolino S, Alexander T, Fujita Y (2018) Volume IX: aging, gender and work, anthropometry, ergonomics for children and educational environments. Mortazavi F, Nadian-Ghomsheh A (2018) Stability of Kinect for range of motion analysis in static stretching exercises. ISPRS J Photogramm Remote Sens 88:128–146 ![]() Kazmi W, Foix S, Alenyà G, Andersen HJ (2014) Indoor and outdoor depth imaging of leaves with time-of-flight and stereo vision sensors: analysis and comparison. In: Computer vision-ACCV 2016 workshops: ACCV 2016 international workshops, Taipei, p 3 Wasenmüller O, Stricker D (2016) Comparison of Kinect V1 and V2 depth images in terms of accuracy and precision. Lun R, Zhao W (2015) Survey of applications and human motion recognition with Microsoft Kinect. Microsoft (2019) Azure Kinect DK documentation. Des Implementation Real-Time Multi-Sensor Vis Syst 2017:13–31Ĭastaneda V, Navab N (2011) Kinect programming for computer vision: time-of-flight and Kinect imaging, p 33. Popovic V, Seyid K, Cogal Ö, Akin A, Leblebici Y (2017) State of the art multi-camera systems. In: Conference: 10th Congreso Internacional de Ingeniería, CONIIN Morphological filters applied to kinect depth images for noise removal as pre-processing stage. ![]() Garduño-Ramón MA, Morales-Hernández LA, Osornio-Rios RA (2014). Lee B, Lee D, Chin S (2018) Structural motion grammar for universal use of leap motion: amusement and functional contents focused. ![]()
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