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Kinect-based physiotherapy and assessment: a comprehensive review [PDF]
, 2017 In this paper, we discuss a review of the present Kinect-based physiotherapy and assessment for rehabilitation patients to provide an outline of the state of art, limitation and issues of concern as well as suggestion for future work in this approach ...
Koh Heng Boon, Koh Heng Boon +2 more
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Directional Ring Difference Filter for Robust Shape-from-Focus
Mathematics, 2023 In the shape-from-focus (SFF) method, the quality of the 3D shape generated relies heavily on the focus measure operator (FM) used. Unfortunately, most FMs are sensitive to noise and provide inaccurate depth maps.
Khurram Ashfaq, Muhammad Tariq Mahmood
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A New Algorithm for Key Frame Xtraction Based on Depth Map Using Kinect
Communications, 2016 In this paper, a new algorithm for key frame extraction based on depth map for hand gesture recognition is presented. The all input sequences are captured by Microsoft Kinect camera system. These methods extract three key frames from captured depth video
Peter Sykora +3 more
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Reconstruction of 3d video from 2d real-life sequences
Revista Facultad de Ingeniería Universidad de Antioquia, 2013 In this paper, a novel method that permits to generate 3D video sequences using 2D real-life sequences is proposed. Reconstruction of 3D video sequence is realized using depth map computation and anaglyph synthesis. The depth map is formed employing the
Eduardo Ramos Diaz, Volodymyr Ponomaryov
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, 2018 Most of the existing deep learning-based methods for 3D hand and human pose estimation from a single depth map are based on a common framework that takes a 2D depth map and directly regresses the 3D coordinates of keypoints, such as hand or human body ...
Chang, Ju Yong +2 more
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Learning for Active 3D Mapping
, 2017 We propose an active 3D mapping method for depth sensors, which allow individual control of depth-measuring rays, such as the newly emerging solid-state lidars.
Petricek, Tomas +3 more
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Entropy-difference based stereo error detection
, 2017 Stereo depth estimation is error-prone; hence, effective error detection methods are desirable. Most such existing methods depend on characteristics of the stereo matching cost curve, making them unduly dependent on functional details of the matching ...
Basu, Anup +3 more
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IET Image Processing, 2023 The effective integration of RGB and depth map features to improve the performance of RGB‐D salient object detection (SOD) has garnered significant research interest.
Lingbing Meng +5 more
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Deep-Learning and Depth-Map Based Approach for Detection and 3-D Localization of Small Traffic Signs
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2020 The three-dimensional (3-D) geographic locations of street furniture, such as traffic signs, comprise the basic content of 3-D city construction, and such information is indispensable for periodic statistics for road management and maintenance.
Lirong Liu +6 more
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Equal Baseline Camera Array—Calibration, Testbed and Applications
Applied Sciences, 2021 This paper presents research on 3D scanning by taking advantage of a camera array consisting of up to five adjacent cameras. Such an array makes it possible to make a disparity map with a higher precision than a stereo camera, however it preserves the ...
Adam L. Kaczmarek, Bernhard Blaschitz
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